Data Analysis Job Vacancies in Gurgaon

JD For MIS Executive Were Hiring - MIS Executive (Service & Spares Department)Experience: 2-5 Years (preferred) Qualification: Diploma in Electrical Technical Skills: Advanced Excel, MS Word Industry Background: Automobile sector with knowledge of manufacturing & service operations.Location: ManesarImmediate JoinerAbout the Role: We are looking for a detail-oriented MIS Executive to support the Service & Spares Department. The candidate should have strong technical skills in data management and reporting, along with an understanding of automobile manufacturing and service processes.Key Responsibilities: Prepare and maintain MIS reports specific to the Service Department (service requests, turnaround time, customer satisfaction, cost analysis) Use Advanced Excel (Pivot Tables, VLOOKUP, HLOOKUP, Macros, Dashboards) for service performance analysis Track and report on service KPIs (response time, resolution rate, spare parts usage, manpower efficiency) Coordinate with service teams to collect, validate, and consolidate operational data Maintain documentation and service records in MS Word and other tools Provide insights to management for improving service quality and efficiencyKey Skills: Strong proficiency in Advanced Excel for service data analysis Knowledge of MS Word for documentation and reporting Understanding of automobile manufacturing and service processes Analytical mindset with attention to detail Ability to work independently and meet deadlinesJoining: Immediate Joiner RequiredInterested candidates, Please share your updated Resume / CVContact Person: HR Nitish PatelURGENT - LIMITED VACANCIES

Job Title: Data AnalystLocation: Gurgaon, IndiaJob Type: Full-Time (Software Product)Experience: 3 to 5 YearsAbout the RoleWe are looking for a detail-oriented and analytical Data Analyst to join our team in Gurgaon. In this role, you will be responsible for turning raw data into actionable insights, building robust data pipelines, and supporting data-driven decision-making across our software product operations.Key ResponsibilitiesData Management & Collection: Gather, organize, and maintain large datasets using advanced data management and mining techniques.Query & Analysis: Write complex SQL and Oracle SQL queries to extract data, analyze trends, and identify business opportunities or operational bottlenecks.Reporting & Visualization: Design and deliver clear reports, dashboards, and visualizations to communicate key metrics to stakeholders.Collaboration: Work closely with product, engineering, and business teams to align data requirements and optimize product performance.Key RequirementsExperience: 3-5 years of professional experience as a Data Analyst or in a similar quantitative role.Education: Graduate degree in a relevant field.Technical Skills:Strong proficiency in SQL, Oracle SQL, and PL/SQL.Hands-on experience with Data Mining, Data Management, and data cleaning.Familiarity with data visualization and reporting tools.Soft Skills: Strong analytical mindset, excellent problem-solving abilities, and effective communication skills.

Required Skill Set:Strong knowledge of MS Excel (mandatory)Key Responsibilities:Maintain and manage MIS reports on a daily, weekly, and monthly basis.Prepare data reports using Excel.Ensure data accuracy and timely submission of reports.Handle database management and update records regularly.Support operations and management with ad-hoc reports and analysis

Fyield is an early-stage startup building data-driven solutions that help underserved businesses and individuals become more visible, verifiable, and finance-ready.We are looking for an Agribusiness Research & Operations Intern to support our early operations as we work with farmers, agribusiness partners, lenders, and other institutions.Responsibilities include: Organizing farmer and business profiles Supporting document collection and verification Researching lenders, off-takers, agribusiness companies, and potential partners Maintaining internal records and operational checklists Supporting farmer onboarding and data organization Assisting with reports, research, and profile preparation Following up on missing information and documents Supporting day-to-day startup operations where required Who we are looking for: Strong research and communication skills Comfortable working with data, documents, and spreadsheets Organized and able to work independently Interested in agribusiness, fintech, financial inclusion, data, or startups Willing to learn and take responsibility in a very early-stage environment Compensation:This is currently an UNPAID internship.Fyield is still at a very early stage, so applicants should not expect a salary or monthly stipend at this time. Please apply only if you are comfortable joining an early-stage startup on this basis.The main benefit of the role is practical experience working closely with an early startup team on real agribusiness, data, verification, financial inclusion, and partnership operations.Any future paid role, equity, or other compensation would only be considered separately based on contribution, company growth, and a formal agreement. Nothing is guaranteed as part of this internship.Hiring Process:1. Application review 2. Short introductory conversation 3. Discussion about skills, availability, and expectations 4. Final selection Applicant Privacy:Information submitted during the application process will only be used for recruitment and internal hiring purposes. Applicants should not submit unnecessary sensitive personal or financial information during the initial application stage.Location: Remote / Nigeria-based applicants preferred where operational support is required.Internship Type: Unpaid Internship

About the Role:We are looking for a smart, analytical, curious, and highly motivated individual to join our team as an Analyst Trainee.This role is ideal for a recent graduate with strong numerical and analytical abilities, proficiency in MS Excel, and agenuine interest in building a career in equity markets, financial markets, trading, and investment analysis.The selected candidate will work closely with senior team members and gain practical exposure to financial markets,market data, trading methodologies, and the psychology and discipline involved in investment and trading decisions.Key Responsibilities: Collect, organize, maintain, and analyze financial, market, and business data using MS Excel. Track and study equity markets, stocks, commodities, market trends, and other relevant financial information. Assist senior team members with market analysis, research, reporting, and documentation. Prepare structured reports, spreadsheets, dashboards, and analytical summaries to support decision-making. Develop an understanding of technical, fundamental, and quantitative approaches to market analysis. Learn trading platforms, market tools, financial products, risk management, and trading psychology. Continuously improve Excel, data-analysis, financial-market, and analytical skills. Take ownership of assigned work and demonstrate curiosity, initiative, accuracy, and attention to detail.Candidate Profile Graduate in Finance, Commerce, Economics, Business Administration, or a related discipline. Strong to advanced working knowledge of MS Excel. Good understanding of mathematics, numbers, percentages, ratios, and data interpretation. Basic understanding of equity markets, stocks, commodities, and trading platforms. Strong analytical and problem-solving ability with high attention to detail and accuracy. Genuine interest in financial markets and willingness to continuously learn. Disciplined, dependable, and comfortable working with data for extended periods. Strong work ethic, positive attitude, and desire to build a long-term career in financial markets.What We Offer: Competitive stipend/compensation. Structured, hands-on training in equity markets, financial products, trading, and market analysis. Direct exposure to practical market research and investment/trading decision-making. Opportunity to learn wealth management, risk management, trading psychology, and business analysis. Mentorship and the opportunity to work closely with experienced professionals. A performance-driven environment with significant learning and long-term growth opportunities.Ideal CandidateWe are particularly interested in someone who is curious about markets, enjoys working with numbers, thinksindependently, and has the patience and discipline to develop into a strong financial-market analyst over time.Prior professional experience is not essential. Attitude, analytical ability, discipline, and willingness to learn aremore important.

We are seeking a dedicated Service Manager to oversee and improve our service operations in Gurgaon, India. The ideal candidate will ensure customer satisfaction while managing a team effectively and efficiently. This role requires strong leadership and problem-solving skills in a full-time, office-based environment.Key Responsibilities:1. Team Management: Lead and motivate a team of service staff to deliver exceptional customer service, providing training and support to enhance their skills.2. Service Delivery: Monitor the service delivery process to ensure all interactions meet company standards and customer expectations.3. Customer Engagement: Act as a primary point of contact for customer inquiries and complaints, resolving issues promptly and maintaining strong relationships.4. Performance Analysis: Analyze service performance metrics to identify areas for improvement and implement strategies to enhance service quality and efficiency.5. Operational Coordination: Collaborate with other departments to streamline operations, ensuring that service objectives align with overall business goals.Required Skills and Expectations:The ideal candidate will have a bachelor

Job Title: eCommerce Executive (Sales & Operations) Experience in FMCG will be preferred, with At least 3 years in Foods / Breakfast Category.Job description1 Key Account Management :Planning and finalizing business strategy for the assigned Key E-commerce accounts for business growth and increased category share TOT negotiation, discussion and closure with the specific E-Com Accounts on yearly basis in coordination with the E-Commerce Head.Facilitating commercial reconciliation of all assigned E-Com accounts Accounts along with commercial manager/executive.2 Key Account Relationship and Target Review :Prepare Joint Business Plan with Key E-Com Accounts to set the Account wise objective for the current financial year and develop the tools to achieve the same.Review of performance with assigned chains on Quarterly basis to analyses current performance basis plan and incorporate changes if required in yearly plans3 Sales Promotion Planning :Planning internal marketing calendars of Promotions, Activation and New Product introduction and aligning the same with internal Trade marketing team and ensuring implementation with the chains.Internal Alignment with the Trade marketing team to ensure our brand objective always gets achieved in E-Com accounts.4 Sales & Distribution Planning and Review :Sales planning to ensure optimum stocks are available at all depots basis client requirement of promotions and visibility planned with the clients, to fulfill optimum fill rates with the accounts.The position is accountable for:Managing national, regional E-commerce and other alternate channels.Planning and delivering sales numbers for the above set of stakeholders through a dedicated set of team members at pan-India level.Visibility & Investment PlanningPlanning and evaluating the visibility & investment assets required on the assigned E-com accounts platforms. Driving alignment with Trade marketing & execution with the accounts.Actively partner with trade marketing to drive the revenue loop through add-to-cart on digital marketing campaigns.

We are seeking an experienced Retention Marketing Manager to lead and execute customer retention initiatives that enhance engagement, drive repeat purchases, and improve customer lifetime value (LTV). The ideal candidate will manage both strategy and execution of retention campaigns across Email, WhatsApp, and SMS, creating personalized customer journeys that build loyalty and reduce churn.Key Responsibilities:Develop and execute a comprehensive retention marketing strategy across Email, WhatsApp, and SMS channels.Design and implement automated customer journeys focused on engagement, win-backs, and post-purchase experiences.Plan and launch targeted campaigns to drive repeat orders, boost LTV, and minimize customer churn.Manage audience segmentation, personalization, and cohort-level performance tracking.Analyze campaign performance and customer behavior to optimize content, timing, and targeting.Collaborate with creative, content, and customer experience teams to ensure consistent brand communication.Maintain and enhance the CRM tech stack to support scalable retention strategies.Requirements:47 years of experience in retention or lifecycle marketing within a D2C or e-commerce environment.Hands-on experience with Email, WhatsApp, and CRM tools such as WebEngage, CleverTap, or HubSpot.Strong analytical mindset with a data-driven approach to campaign optimization.Excellent communication, project management, and collaboration skills.Required Skills:Customer Relationship Management (CRM)Data AnalysisA/B Testing & Analytics (GA4, VWO, Hotjar)Retention MarketingCustomer Segmentation & PersonalizationCustomer Lifetime Value (LTV) Optimization

About the RoleWe are looking for an experienced Customer Service Team Leader who can lead day-to-day operations across multiple customer touchpoints (calls, chats, and tickets). The ideal candidate should have 7-11 years of experience in customer service for fast-paced startups, with proven expertise in handling high-volume inbound queries, problem-solving, and cross-functional collaboration with Operations and other teams.Key ResponsibilitiesLead and manage a customer service team handling inbound calls, chats, and tickets.Monitor daily service performance, ensuring SLA adherence (response time, resolution rate, CSAT, etc.).Perform Root Cause Analysis (RCA) on recurring issues and drive process improvements.Collaborate with Operations, Product, and Tech teams to escalate and resolve complex customer issues.Ensure accurate ticket categorization, tracking, and reporting through CRM/Helpdesk tools.Train, coach, and mentor team members to enhance communication, problem-solving, and customer handling skills.Manage shift schedules, workforce planning, and daily team huddles.Prepare and present weekly/monthly reports on team performance, customer pain points, and improvement initiatives.Drive customer-first culture while maintaining operational efficiency.Key Requirement8-11 years of experience in customer support operations, with at least 23 years in a team lead role.Strong experience handling inbound calling volume, chat support, and email tickets.Ability to analyze data and perform RCA to identify process gaps.Exposure to cross-functional collaboration with Ops, Product, and other business units.Strong people management skills able to coach, motivate, and manage teams effectively.Excellent communication skills (English + Hindi, additional languages preferred).Prior experience in startup or high-growth environment preferred.Hands-on experience with CRM/Helpdesk tools (e.g., Freshdesk, Zendesk, Salesforce, etc.).Work EnvironmentWorking Days: 6 days a weekWorking hours :-9am - 8pmLocation: Gurugram sec-39

Hiring for MIS Executive (in HR Department) at Udyog Vihar, GurugramRole: - MIS Executive (HR Trainee)Department - HR DepartmentLocation - Udyog Vihar, GurugramEducation - GraduateSkill - Good in Advance excelOffice - Work from Office Working days - 6 days workingSalary - 12 k to 15 k Interested candidate can send his on nk.sharma@kanpekiworkforce.com or apply here.thanks Neeraj Sharma

DescriptionResponsibilities:-As the executive assistant to our CEO, your responsibilities will include:Business Liaison: Act as a point of contact and liaison between the CEO and internal/external stakeholders.Data & Information Management: Organize and maintain confidential data and information with the utmost integrity.Event Management: Coordinate high-profile events and meetings, ensuring smooth execution and flawless hospitality for attendees.Calendar Management: Effectively manage the CEO's busy schedule and coordinate meetings, conferences, and travel arrangements.Communications: Oversee emails, calls, and other correspondence, and draft professional and polished documents on behalf of the CEO.Project Coordination: Assist in planning, executing, and monitoring key projects. Collaborate with cross-functional teams to ensure project success.Research & Analysis: Conduct market research, gather relevant data, and provide insightful reports and recommendations to support the CEO's decision-making process.Executive Support: Handle personal tasks and responsibilities for the CEO, including managing personal appointments with discretion and confidentiality.Requirements and skills:-To be successful in this role, you should possess:Proven experience of 5 years as an executive assistant or similar role, supporting C-level executives.Exceptional written and verbal communication skills.Proficiency in Microsoft Office Suite and other relevant tools/software.An adaptable and flexible approach to thrive in a rapidly changing environment.A proactive and solution-oriented mind set, anticipating needs and taking initiative.High level of integrity and the ability to maintain confidentiality with sensitive information.Impeccable organizational and time management skills with the ability to multitask effectively under pressure.NOTE:- Looking for females profiles only

About role: We are actively seeking talented Data Scientists & Analysts proficient in Python to join our ambitious team dedicated to pushing the frontiers of AI technology. This opportunity is tailored for professionals who thrive on developing innovative solutions and aspire to be at the forefront of AI advancements. You will work with companies in the US looking to develop cutting-edge commercial and research AI solutions. You will write effective Python code to tackle complex issues but also use your business sense and analytical abilities to glean valuable insights from public databases, fix bugs in the code, and create thorough documentation. The ideal candidate will communicate clearly with researchers and help the organization in realizing its objectives, and clearly express the reasoning and logic when writing code in Jupyter notebooks, or other suitable mediums. It will also utilize extensive data analysis skills to develop and respond to important business queries using available datasets (such as those from Kaggle, the UN, the US government, etc.)Required Skills: Bachelors/Masters degree in Engineering, Computer Science (or equivalent experience). At least 2 years of relevant experience in Data Science or Data Analysis. At least 2 years of experience working with Python programming. A desire to have a significant impact on the field of artificial intelligence. Strong data analytic abilities and business sense are required to draw the appropriate conclusions from the dataset, respond to those conclusions, and clearly convey the key findings Excellent problem-solving and analytical skills. Excellent communication abilities to work with stakeholders and researchers successfully. Fluent in conversational and written English communication skills.

developing and maintaining a MIS plan, including budget needs, operational requirements and schedulesformulating and overseeing the implementation of a company's MIS policies to protect dataidentifying and introducing process improvements to increase MIS efficiencyhaving extensive knowledge of an organisation's business and MIS requirementsplanning and overseeing hardware and software installationsperforming regular servicing and maintenance of a company's MIS system to ensure it is safe and efficientanalysing MIS data to spot and mitigate patterns or trends that can cause unplanned downtimes or outagestraining employees and other interested parties about MIS activities to increase their awareness and expertisemonitoring the performance of employees and guiding them to improve their outputsupervising MIS staff and motivating them to work efficiently and collaborativelyplanning and managing upgrades of software and hardware componentsfollowing the sector's developments and recommending new MIS solutions or practices to improve efficiency and productivity

Responsibilities: Develop and validate quantitative models for various risk management purposes, including credit risk, market risk, and operational risk. Collaborate with cross-functional teams to design and implement advanced statistical andmachine learning techniques to enhance risk assessment and decision-making processes. Conduct thorough analysis of large datasets to identify patterns, trends, and potential risks,and provide actionable insights to senior management. Stay abreast of industry best practices, regulatory guidelines, and market developmentsrelated to credit risk management, decision models, CCAR, IFRS9 and CECL, and incorporate findings into model development and validation processes. Work closely with client & stakeholders, including risk management, finance, and regulatory reporting teams, to address model-related issues and provide expert guidance on risk management strategies. Prepare comprehensive documentation, including model documentation, validation reports,and regulatory submissions, to ensure transparency and regulatory compliance.Qualifications: Master's or Ph.D. degree in quantitative finance, mathematics, statistics, computer science or a related field. Minimum of 1-2 years of experience in quantitative modeling and risk management withinthe financial services industry. Strong programming skills in languages such as Python, R, or MATLAB, with experience in data manipulation, statistical analysis, and machine learning techniques. Good knowledge of credit risk modeling methodologies, including probability of default (PD), loss given default (LGD), and exposure at default (EAD). Familiarity with CCAR stress testing, including scenario design, model development, anddocumentation. Familiarity with CECL/IFRS9 implementation and its impact on credit loss estimation andprovisioning.Certification such as FRM (Financial Risk Manager) or CFA (Chartered Financial Analyst) is a plus

Position Overview:We are currently seeking a seasoned Data Engineer to join our dynamic team. The ideal candidate will have a minimum of 4 years of experience in data engineering roles, with a proven track record of delivering high-quality solutions in a fast-paced environment.Responsibilities:Design, build, and maintain scalable data pipelines and infrastructure.Collaborate with cross-functional teams to gather and analyze requirements.Implement best practices for data warehousing, ETL processes, and data integration.Optimize data workflows for performance, reliability, and efficiency.Stay current with emerging technologies and industry trends in data engineering.Qualifications:Bachelor's degree in Computer Science, Engineering, or related field.Minimum of 4 years of professional experience in data engineering.Proficiency in programming languages such as Python, Java, or Scala.Experience with cloud platforms (e.g., AWS, Azure, GCP) and related services.Strong understanding of data modeling, database systems, and SQL.Excellent problem-solving skills and attention to detail.Effective communication and collaboration abilities.

Job Responsibilities:Write effective, high-quality Python code to solve problemsClearly explain the reasoning behind the code in Jupyter notebooksDebug code and produce thorough documentationUsing free datasets (such as Kaggle, the UN, the US government, etc.), use your data analytic skills to formulate and respond to important business issuesEffectively communicate with researchers to comprehend their needs and share their findingsJob Requirements:Bachelors/Masters degree in Engineering, Computer Science (or equivalent experience)At least 4+ years of relevant experience as a data scientist2+ years of experience working with Python programming languages and Data ScienceDemonstrable experience with Data AnalysisSome familiarity with SQL is nice to haveExcellent critical thinking and problem-solving abilitiesStrong business sense combined with data analytic abilities to identify the key questions to ask from the dataset, provide clear answers, and explain the key findingsOutstanding communication abilities to work with researchers and stakeholders in an efficient mannerFluent in spoken and written English communication

Person will be responsible for developing/preparing reports and dashboard to client as per requirement.Should be well very good knowledge of managing system similar to 1Channel enterprise system.Must have skillset to Manage voluminous data and very good with Excel skills.Must have deep understanding validating/verifying/managing raw sales data.Technically sound with system and must be quick learner.Personal will be responsible for representing/sharing/flashing sales report/data as per requirement.Must have logical mindset and approach to run the show.Must have very good comm skills to represent the data to management.Will be responsible to manage the end-to-end MIS.Will be responsible to manage the backend operations of the Program.

We are hiring spss known candidates freshers can get alao chance to get hands on tool for the position.Using automated tools to extract data from primary and secondary sourcesRemoving corrupted data and fixing coding errors and related problemsDeveloping and maintaining databases, and data systems reorganizing data in a readable format Performing analysis to assess the quality and meaning of dataFilter Data by reviewing reports and performance indicators to identify and correct code problemsUsing statistical tools to identify, analyze, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and predictionAssigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time.Analyzing local, national, and global trends that impact both the organization and the industryPreparing reports for the management stating trends, patterns, and predictions using relevant dataWorking with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies. Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.

Required Skill Set:Strong knowledge of MS Excel (mandatory)Key Responsibilities:Maintain and manage MIS reports on a daily, weekly, and monthly basis.Prepare data reports using Excel.Ensure data accuracy and timely submission of reports.Handle database management and update records regularly.Support operations and management with ad-hoc reports and analysis.