Data Analyst Job Vacancies in Bangalore

As a Social Media Optimization Manager, you will play a crucial role in enhancing our brand's online presence and engagement across various social media platforms. Your primary focus will be on developing strategies that increase our visibility and interaction with our audience.**Key Responsibilities:**- **Content Creation and Management:** Develop engaging and creative content tailored to our target audience, ensuring brand consistency across platforms.- **Social Media Strategy Development:** Create and implement effective social media strategies that align with our marketing goals, increasing overall engagement and reach.- **Performance Analysis:** Monitor and analyze social media metrics to assess the effectiveness of campaigns and identify areas for improvement.- **Community Engagement:** Actively engage with our online community, responding to comments and messages promptly to build positive relationships with followers.- **Trend Monitoring:** Stay updated on social media trends and best practices to keep our strategies fresh and relevant.**Required Skills and Expectations:**- Strong understanding of various social media platforms such as Facebook, Instagram, Twitter, and LinkedIn.- Excellent written and verbal communication skills, with the ability to create compelling content.- Creative mindset with a passion for social media and digital marketing.- Basic analytical skills to interpret social media metrics and derive actionable insights.- Ability to work both independently and as part of a team in a fast-paced environment.- A bachelor's degree in relevant fields such as B.C.A, B.B.A, B.Com, or similar is preferred but not mandatory. With a proactive attitude and a keen eye for detail, your contributions will significantly impact our online brand presence.

Job DescriptionChannel Growth & StrategyOwn and execute a salable YouTube growth strategy for global audiencesIdentify content opportunities based on search demand, trends, and audience behaviorEnsure consistent growth in subscribers, impressions, CTR, and watch timeYouTube SEO & Discover abilityOptimize videos for YouTube search and suggested feed rankingsPerform keyword research and competitor analysisAim to consistently rank within the top 3 positions for target keywordsContent Strategy & OptimizationDefine content formats (educational, short-form, webinars, explainers, etc.)Improve video retention rates and average watch timeCollaborate with content and design teams for high-performing creativesAnalytics & Performance TrackingDeep dive into YouTube Analytics to track:Audience retentionClick-through rate (CTR)Engagement metricsTranslate insights into actionable growth strategiesMonetization & Lead GenerationBuild strategies to:Generate qualified leads from YouTubeImprove conversion rates from viewers to inquiriesDrive revenue through content funnelsGlobal Audience ExpansionOptimize content for international marketsUnderstand regional audience behavior and trendsScale channel visibility across geographiesExperimentation & InnovationContinuously test:Titles, thumbnails, hooksVideo formats and duration

Job SummaryWe are looking for a dynamic Analytics professional to drive execution of projects within the Enterprise Strategic Sourcing (ESS) Analytics vertical.In this role, you will collaborate closely with category managers, sourcing teams, finance, legal, and business stakeholders to deliver data-driven insights, ensure high-quality deliverables, and support strategic sourcing initiatives end-to-end. Key Responsibilities Lead and support execution of sourcing analytics projects and deliver within timelines Analyze multiple datasets - contract, spend, invoice, and PO data Own and manage dashboards (category, supplier, regional performance) Enhance dashboards by improving metrics, visualization, and insights Perform spend analysis and baseline development; resolve data discrepancies Support data quality improvement initiatives Build and maintain analytics dashboards and reporting metrics Conduct RFP analytics including bid analysis, scenario modeling & award recommendations Support Total Cost of Ownership (TCO) modeling for sourcing projects Perform advanced analytics using SQL, Python, R (as applicable) Collaborate with cross-functional and global stakeholders Required Experience & Qualifications Bachelors degree in Business, Finance, Engineering, or related field Minimum 5 years of business/analytics experience Experience in sourcing/procurement spend analytics Strong analytical skills with large datasets & reporting Hands-on experience with Power BI, Excel & PowerPoint Exposure to Indirect Procurement categories Strong stakeholder communication skills (global exposure preferred) Financial modeling and analytical reporting expertise Preferred Skills Sourcing or procurement experience SQL / Python / R knowledge for advanced analytics Cost optimization or analytics tools experience Why Join Us? Work on high-impact global sourcing projects Collaborate with cross-functional international teams Drive analytics-led transformation in procurement Opportunity to build advanced analytics capabilities Interested candidates can apply or share their profiles via DM/email.Contact details-runjun.prometheus18@gmail.comContact no-9897083050

Business Unit: Ingram Micro LifecycleLocation: India (Bangalore / Hyderabad / Remote as applicable)Experience: 03 years (adjust as needed)Job SummaryIngram Micro Lifecycle is looking for a detail-oriented Data Analyst to support data-driven decision-making across IT Asset Disposition (ITAD), reverse logistics, refurbishment, and lifecycle services. The role involves analyzing operational, financial, and compliance data to improve efficiency, reporting accuracy, and customer insights.Key ResponsibilitiesCollect, clean, and analyze large datasets from lifecycle operations, ITAD systems, logistics, and ERP platformsBuild and maintain dashboards and reports for operations, sales, finance, and compliance teamsAnalyze trends related to asset recovery, refurbishment yield, resale value, and disposal metricsSupport customer reporting requirements, including SLA, audit, and compliance dashboardsWork closely with cross-functional teams (Operations, Finance, Sales, Compliance, IT) to understand data needsIdentify process gaps and recommend data-driven improvementsEnsure data accuracy, integrity, and governance standards are maintainedAssist in automation of reports and data pipelines where possiblePrepare insights and presentations for management reviewsRequired Skills & QualificationsBachelors degree in Data Analytics, Computer Science, Statistics, Engineering, or related fieldStrong proficiency in SQLHands-on experience with Excel (advanced formulas, pivot tables)Experience with BI tools such as Power BI, Tableau, or LookerStrong analytical and problem-solving skillsAbility to translate complex data into clear business insightsGood communication skills and stakeholder management abilityPreferred / Nice-to-Have SkillsExperience in ITAD, supply chain, logistics, or lifecycle servicesKnowledge of ERP systems (SAP preferred)Python or R for data analysis and automationUnderstanding of compliance standards (R2, e-Stewards, ISO, ESG reporting)Experience working with large, multi-source datasetsWhat We OfferOpportunity to work with a global leader in technology lifecycle servicesExposure to international clients and large-scale operations dataCollaborative and fast-paced work environmentCareer growth within analytics, operations, and strategy functions

We hope you are doing well.TMUS India Private Limited is pleased to invite you to explore an exciting Remote Data Analyst AI Automation & Digital Analytics opportunity with our team.At T-Mobile, we believe in investing in YOU. Our Total Rewards philosophy ensures that our team members grow professionally, financially, and personally while contributing to one of the worlds most innovative digital-first companies.About the Role Data Analyst (AI & Digital Analytics)In this role, you will work closely with our digital product and engineering teams to automate analytics specifications, enhance tracking frameworks, and ensure high-quality digital data across web and mobile platforms.You will leverage AI, LLMs, automation platforms, Adobe Analytics, SQL, Power BI, and Python to transform business requirements into scalable, accurate, and validated analytics event documentation.This position is fully remote for the India location.Key ResponsibilitiesDefine and automate analytics tagging requirements for web/app features.Use AI/LLM tools to generate event specifications and documentation.Create scalable event schemas, payload definitions, and parameter mappings.Build automated workflows for spec creation, QA, and updates.Ensure data governance and consistency across digital ecosystems.Collaborate with engineering, product, and analytics teams for seamless implementation.Develop dashboards, KPIs, and reports using Power BI, Adobe Analytics, and SQL.Perform data validation, troubleshooting, and analytics QA.Identify optimization opportunities across customer journeys and digital performance.Required Skills & ExperienceBachelors Degree with 0-4 years in digital analytics or business intelligence.Strong SQL, Python, large datasets, and analytics modeling experience.Expertise in LLMs like GPT, Claude, Gemini, Llama; prompt engineering preferred.Experience with Adobe Analytics, AEP, tagging automation, and event tracking.Power BI dashboards, KPI creation, and data visualization experience.Experience designing event schemas across web, mobile, backend, SDKs.Familiarity with JavaScript and ML-based anomaly detection (preferred).What You GetEmployees in India enjoy a strong benefits and compensation package, aligned with T-Mobiles global Total Rewards philosophy, including:Competitive salaryPerformance-linked bonusHealth & wellness benefitsPaid time off and holidaysCareer development & upskilling opportunitiesStock purchase programs & internal mobility pathwaysWe are committed to helping you growprofessionally and personally.At T-Mobile USA and TMUS India Pvt. Ltd., we value inclusivity, equal opportunity, and respect at every level. We welcome talent from all backgrounds who share our passion for innovation and growth.Looking forward to hearing from you.

We are looking for a Business Research Intern to join our team. The ideal candidate will conduct market research, analyze data, and provide insights to support business decisions. Responsibilities include researching market trends, competitor analysis, and data visualization. This is a work-from-home internship opportunity for freshers with analytical skills and interest in business research.

Intern Job DescriptionAbout UsAt Redefyn Interiors, we believe every space has a story to tell. As a highly creative and detail-oriented interior design firm, we specialize in transforming residential, commercial, and office spaces into functional and aesthetically captivating environments.From concept to completion, we combine expertise in space planning, color theory, and project management with a strong passion for design. Whether its renovating a home, enhancing an office, or elevating real estate interiors, we consistently deliver exceptional results that exceed client expectations.We Are Hiring Interns for 3 PositionsLead Generation InternMarketing InternSales Intern1. Lead Generation Intern Job SummaryWe are looking for a motivated Lead Generation Intern to support our client research and outreach activities. You will assist in identifying potential clients and connecting them with our interior design and renovation services.Key ResponsibilitiesAssist in generating leads through social media, online research, and real estate platforms.Identify potential clients such as homeowners, builders, and architects.Support outreach through calls, emails, WhatsApp, and LinkedIn.Maintain and update lead records for follow-ups.2. Marketing Intern Job SummaryWe are seeking a creative Marketing Intern to support our branding, digital marketing, and promotional activities. You will work closely with the team to enhance our online presence and attract potential clients.Key ResponsibilitiesAssist in creating social media content, posts, and marketing materials.Help manage campaigns on Instagram, Facebook, and real estate platforms.Conduct market research to understand design trends and competitor activities.Support digital promotions and branding initiatives.3. Sales Intern Job SummaryWe are looking for an enthusiastic Sales Intern to assist the sales team in engaging with clients and explaining our design services. The role includes client follow-ups, scheduling meetings, and supporting sales presentations.Key ResponsibilitiesSupport the sales team during client discussions and site visits.Follow up with leads and help schedule meetings with the design team.Assist in documenting client requirements and preparing basic proposals.Learn and participate in sales strategies and customer engagement activities.Preferred Skills (For All Positions)Good communication skills in English and local languages (Hindi, Kannada, Tamil, etc.).Eagerness to learn about interior design, sales, marketing, and lead handling.Willingness to visit new construction sites with the team for real-world exposure.Interest in interior design, home renovation, or modular kitchen solutions (added advantage).

We are seeking a passionate Data Analyst Intern who loves working with data, analyzing patterns, and finding insights that help make better business decisions. Youll work closely with our analytics and product teams to transform raw data into meaningful information.Responsibilities: Collect, clean, and organize data from multiple sources. Analyze large datasets to identify trends and insights. Create dashboards and visualizations using tools like Excel, Power BI, or Tableau. Assist in preparing data-driven reports for management. Collaborate with teams to optimize data collection and reporting processes. Present insights in a clear and actionable way.Required Skills: Proficiency in Excel/Google Sheets for data analysis. Basic knowledge of SQL for querying databases. Familiarity with Python (Pandas, NumPy) or R is a plus. Understanding of data visualization tools (Power BI, Tableau, or Google Data Studio). Strong analytical and problem-solving mindset.Eligibility: Pursuing or recently completed a degree in Computer Science, Statistics, Mathematics, Economics, or related fields. Good communication and presentation skills. Eagerness to learn and explore new tools and techniques.Perks: Hands-on project experience with real-world data. Internship completion certificate. Mentorship from experienced data professionals. Opportunity for full-time employment based on performance.

About KenverseKenverse is a leading technology company building transformative SaaS solutions for the enterprise and education sectors. We are seeking a versatile expert to drive data insights and seamless system connectivity.The RoleWe are hiring a Senior Analyst/Consultant to join our team in one of three locations. This role is a specialized blend of analytics and integration, critical to our data strategy.Detail SpecificationExperience: 3 to 7 YearsCompensation: Up to 35 Lakhs per annumLocation: Kolkata, Bangalore, CoimbatoreWork Mode: Work from Office (WFO)Education: BCA, BBA, BSc, B.Tech/BE (Any Field)Key Skills RequiredYou must have hands-on, proven expertise in all three areas:1. Tableau Development: Designing and optimizing high-impact data visualization dashboards and reports.2. CRM Analytics Expert: Analyzing customer data, performing segmentation, and driving insights for sales/marketing strategies.3. MuleSoft: Developing and deploying API-led integration solutions using the Anypoint Platform to ensure robust system connectivity.How to ApplyInterested candidates, please send your resume immediately.WhatsApp: 8013914799LinkedIn: Send your resume via my inbox.

First Meridian hiring Announcement Urgent Hiring and immediate joiners preferred. Grab the opportunity .We're Hiring for one of our prestigious clients Job Title: Analyst Sales Operations(Bangalore)Work location: Domlur BangaloreWork Mode: Work From Office(3 days/week, 2 days WFH) (for female employee cab will be provided if shift timings are between 8pm to 6am)Candidates must be flexible for APJ, EMEA, and AMER shifts (assigned post-training)Interview Mode: Face-to-Face is MUSTJob Description:About Business Unit:Within the Master Data Governance (MDG) Organization, the purpose of the role is for driving operational efficiency, governance & accuracy within the MDG organization.Specifically, streamlining business processes and leveraging best practices.Role Overview:Focus is on centralizing administrative and system support functions and increasing our responsiveness to our business customers. The MDG analyst provides support to all Dell Technologies Business Units including but not limited to Sales, Services, Channels, Finance and other downstream clients.Key Responsibilities:Ability to work rotational hours APJ, US, EMEASupport and maintain all incoming MDG requestsComplete assigned daily requests in line with the defined SLAHandle customer escalations carry out root cause analysis on escalations with effective response timesAnalyze complex and disparate sets of data to make timely fact-based decisions and recommendationsAbility to engage with stakeholders to understand their needsAssist in preparing important KPIsProvide End of Quarter support aligning with key business units EOQ support structuresParticipate in regular team forums providing process improvement ideas and possible group training opportunitiesPrepare and deliver clear and well- organized presentations to stakeholders/team/leadershipGood team player with the ability to build rapport with stakeholders and fellow team members driving collaborative activities to achieve resultsPerforms other duties as requiredEssential Requirements:Strong English and local language spoken and writtenStrong analytical and customer service skillsExcellent organizational as well as multi- tasking skillsSelf-initiation and creative thinkingExcel and PowerPointHigh sense of urgencyDesirable Requirements:Proficient in MS Office applicationsSQL experience a plus but not requiredMandatory SkillsWorked in data management background,Handled any type of data.Support Experience, Working experience in Sales and/or Marketing domainExcellent verbal, and written communication skills.Multi-tasking capabilities, Stake holder management & engagement skills & real-time problem-solving skillIncubment should have worked in any international BPOLet me know if you know of anyone who would be a fit for this roleInterested candidates mail your resume : mohit.kumar@firstmeridianglobal.com

Main ResponsibilitiesOversee the daily collection, cleaning, and validation processes of fund-related data to ensure accuracy and reliability.Serve as SPOC for ETF (sub-product).Interact with a Scrum Team for identifying and resolving issues with automated processesLead initiatives to identify and address errors, duplicates, and data integrity issues, ensuring reliable and consistent data management.Serve as the primary Subject Matter Expert (SME) and point of contact for fund-related datasets, guiding both internal teams and external stakeholders.Respond promptly and effectively to fund data-related inquiries from clients and internal stakeholders.Lead the expansion of data collection efforts, proactively identifying opportunities to enhance and diversify fund data acquisition.Be the first point of contact for new hires and lead/guide/train analysts.Assist Assistant Manager/Manager in preparing comprehensive reports on incident reporting, Root Cause Analysis (RCA), fixes, and work in progress on key metrics and insights.Maintain and update documentation on fund data sources, processes, and methodologies, ensuring accessibility and clarity for internal teams.Collaborate closely with data engineers to establish and optimize fund data pipelines, enhancing the flow and efficiency of data processing.Participate in integrating the existing fund dataset with internal next-generation platforms.Basic QualificationsBachelors or masters degree in science, Technology, Engineering, Mathematics, Finance, Accounting, or related fields.3+ years of experience in the funds or indexing industry, particularly in data, analytics, or finance-related roles.Strong understanding of financial instruments such as ETFs, Mutual Funds, and other relevant asset classes.Detail-oriented with strong analytical skills, specifically in the context of financial data.Key SkillsExperience in corporate actions, fund holdings, indexing and fund space.Operational knowledge of SQL.Ability and willingness to adapt to fast-paced environment and shifting priorities.Excellent communication and interpersonal skills.Problem-solving and decision-making capabilities.Willingness to step into supervising the team as needed.

Responsibilities: Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner Execute statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large data sets to identify trends, figures and other relevant information Collaborate with clients and other ZS stakeholders to effectively integrate and communicate analysis findings Contribute to the evaluation of emerging datasets and technologies that may contribute to our analytical platform Evaluating emerging datasets and technologies that may contribute to our analytical platform Owning the development of select assets/accelerators for efficient scaling of capability, with a focus on leveraging generative AI and deep learning methodologies. Integrate engineering principles into data science workflows, optimizing algorithms for performance, scalability, and maintainability. Collaborate with the engineering team to implement and deploy data sciencesolutions into production, ensuring seamless integration with existing systems. Utilize software engineering best practices for version control, code review, testing, and documentation to maintain high-quality, reliable, and reproducible data science workflows.Key Responsibilities: Experience with the design and development of Tableau visualization solutions. Experience with the creation of users, groups, projects, workbooks and the appropriate permission sets for Tableau server logons and security checks. Dashboards and document designing experience. Strong DW-BI Skills; Data modelling and advanced Reporting experience. Advanced knowledge of reports performance optimization; Perform administrative and support activities across a multi-environment Tableau infrastructure including security administration, release management, troubleshooting and general systems maintenance.

Job Title: Inside Sales Executive (Junior Level)Location: Remote Hyderabad, India Reporting To: Sales Head Company: Inxiteout.aiWhy Join UsBe part of a fast-growing tech company redefining analytics and automation. If you thrive in a dynamic startup culture, value ownership, and love collaborating with motivated teamsthis is for you.Key Responsibilities Identify and pursue new business opportunities using proven processes to prospect into targeted industries and business accounts. Engage in high-level conversations with senior decision-makers to understand their business challenges and operational needs. Responsible for email and telephone-based lead generation, qualification, and processing. Create concise reports summarizing insights and findings from lead interactions. Collaborate closely with the sales team to accelerate pipeline growth and conversion.Ideal Candidate Profile 3 - 5 years of experience in Inside Sales, preferably in the analytics / Digital transformation. Proven track record of success in prospecting and lead generation in US and North America markets. Strong grasp of different buyer personas and the ability to tailor messaging accordingly. Skilled in navigating all stages of the B2B sales cycle. Excellent verbal and written communication skills in English. Self-driven, curious, and highly persuasive over phone and email. Energetic team player with a growth mindset and an eye for detail.Bonus Skills Familiarity with CRM tools (e.g., HubSpot, Salesforce).o Understanding of analytics platforms or data-driven business tools.o Experience working with remote global teams.

As an HR Recruiter, you will be responsible for sourcing and screening candidates using various methods such as cold calling, boolean search techniques, and social media recruiting. You will be expected to conduct interviews, negotiate job offers, and manage candidate relationships throughout the recruitment process.

Data AnalystJob Summary:We are seeking a detail-oriented and analytical Data Analyst to join our team. The ideal candidate will be responsible for collecting, processing, and analyzing data to support business decision-making and strategy. You will work closely with cross-functional teams to turn data into critical information and insights that drive business results.---Key Responsibilities:Collect, clean, and interpret data from multiple sources.Analyze large datasets to identify trends, patterns, and insights.Create dashboards, visualizations, and reports to present data clearly and effectively.Collaborate with stakeholders to understand business goals and data needs.Develop and maintain databases and data systems reorganizing data as needed.Use statistical tools to identify, analyze, and interpret patterns and trends.Monitor key performance indicators (KPIs) and provide actionable insights.Assist in forecasting and predictive modeling using data analytics tools.Ensure data integrity and security.---Requirements:Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field.Proven experience as a Data Analyst or similar role.Proficiency in SQL, Excel, and data visualization tools (e.g., Power BI, Tableau).Knowledge of statistical packages (e.g., R, Python, SAS) is a plus.Strong analytical and problem-solving skills.Excellent communication and presentation skills.Ability to work independently and collaboratively in a team environment.---Preferred Skills:Experience with big data platforms (e.g., Hadoop, Spark) is an advantage.Familiarity with data warehousing and ETL processes.Understanding of machine learning algorithms (optional but beneficial).

Job Title: Data Scientist Experience: 6+ yearsLocation: RemoteWorking Hours : USA ESTMode: contract 3-6 months Key Responsibilities: Develop advanced MMM (Media Mixed Modeling) and MTA (Multi-touch Attribution) models to optimize marketing and advertising strategies Analyze large volumes of structured and unstructured data to uncover trends, correlations, and actionable insights Build and deploy machine learning models and predictive algorithms to solve complex business problems Gather data from diverse sources, clean and transform it for analysis Apply statistical techniques to validate models and ensure accuracy and reliability Automate analytical workflows and repetitive tasks using AI tools and scripting languages Create compelling visualizations, dashboards, and reports to communicate insights across teams Collaborate with cross-functional teams including AdSales, Data Engineering, and Analytics Stay updated on the latest developments in AI, machine learning, and media analytics. Required Skills & Experience: 6+ years of experience in data science, analytics, or machine learning roles At least 3 years of experience in AdTech or AdSales systems Hands-on experience in developing MMM and MTA models Strong understanding of OTT, digital media, and advertising ecosystems Proficiency in programming languages like Python, R, or SQL for data manipulation and modeling Experience working with large datasets, data pipelines, and BI/reporting tools Familiarity with statistical methods, experiment design, and model evaluation metrics Excellent problem-solving, communication, and stakeholder management skills

We are Looking for a Passionate Certified Data Analyst. the Successful Candidate Will Turn Data Into Information, Information Into Insight and Insight Into Business Decisions. Data Analyst Responsibilities Include Conducting Full Lifecycle Analysis to Include Requirements, Activities and Design. Data Analysts Will Develop Analysis and Reporting Capabilities. They Will also Monitor Performance and Quality Control Plans to Identify Improvements. Responsibilities Interpret Data, Analyze Results Using Statistical Techniques and Provide Ongoing Reports Develop and Implement Databases, Data Collection Systems, Data Analytics and other Strategies that Optimize Statistical Efficiency and Quality Acquire Data from Primary or Secondary Data Sources and Maintain Databases/data Systems Identify, Analyze, and Interpret Trends or Patterns in Complex Data Sets Filter and clean Data By Reviewing Computer Reports, Printouts, and Performance Indicators to Locate and Correct Code Problems Work with Management to Prioritize Business and Information Needs Locate and Define New Process Improvement Opportunities Requirements and Skills Proven Working Experience as a Data Analyst or Business Data Analyst Technical Expertise Regarding Data Models, Database Design Development, Data Mining and Segmentation Techniques Strong Knowledge of and Experience with Reporting Packages (business Objects Etc), Databases (sql Etc), Programming (xml, Javascript, or Etl Frameworks) Knowledge of Statistics and Experience Using Statistical Packages for Analyzing Datasets (excel, Spss, Sas Etc) Strong Analytical Skills with the Ability to Collect, Organize, Analyze, and Disseminate Significant Amounts of Information with Attention to Detail and Accuracy Adept At Queries, Report Writing and Presenting Findings Bs in Mathematics, Economics, Computer Science, Information Management or Statistics Skills: Business Intelligence, R, Data Analytics, Python, Sas, Data Models, Data Architecture,

Education Qualifications: Must hold a Bachelor s Degree Skills Required: 1) Google Analytics 2) Ms-Excel 3) Python 4) R 5) MySQL Ability to interpret large amounts of data and to multi-task Good presentation and time management skills Hands on Experience of Marketing and digital marketing tools. (Google AdWords, Social Ads, Social Analytics, CRM, Marketing Automation, etc) Hands on Experience of social media platforms. (Data Extraction, Social Analytics) Adequate knowledge of data collection. (Hands on Google Tag Manager) Hands on Experience of social media platforms. (Data Extraction, Social Analytics)Adequate knowledge of data collection. (Hands on Google Tag Manager) Key Responsibilities: Use google analytics and other analytics software for data mining and analysis. Well versed with social media tools like LinkedIn, Facebook, Twitter. Establishing statistical validity of the data, conducting hypothesis testing (using R/Python/Excel as required) Conducting exploratory analysis on the data and providing actionable insights Building reports in Excel, Tableau Looker etc. Working upon day-to-day data analysis requirements, data visualization, and any data and reporting requirements Implement new algorithms for optimization, recommendation, attribution and emerging real-time consumer analytics.

Role-Execute the daily collection, cleaning, and validation processes of fund-related data to ensure accuracy and reliability.Monitor and perform quality assurance on data ingested via automated processesIdentify and address errors, duplicates, or inconsistencies in datasets to maintain accuracy and integrity.Interact with a Scrum Team for identifying and resolving issues with automated processesParticipate in expanding data collection efforts.Assist Assistant Manager/Manager in preparing comprehensive reports on incident reporting, Root Cause Analysis (RCA), fixes, and work in progress on key metrics and insights.Respond to data-related inquiries from Senior Analyst and your inline Manager.Maintain documentation of data sources, processes, and methodologies.Work closely with data engineers to establish and optimize data pipelines.Preferred skills-Bachelors or masters in science, Technology, Engineering, Mathematics, Finance or AccountingPreferably 2 years of experience in financial data, previous roles circulating validation of NAVs, Price, Shares or any financial data.2-4+ years' experience in funds/indexing industry within data, analytics or finance-related roleFamiliarity with ETFs, Mutual Funds and/or other financial instruments