Data Analyst Female Jobs in Laxmi Nagar

Job descriptionSkillsExcellent knowledge of statistical methods and data analysis techniques*Strong Python scripting capability*Experience in data analytics and algorithm development using python*Proficient in Data Visualization and interpretation*Experience with TensorFlow, Keras, NLTK, streaming analytics techniques and related solutions*Knowledge of Fbprophet, Numpy, Datetime, Pandas,Translators, Textblob, Collections, Googleapiclient.*Familiarity with MySQL databases and cloud architectures*Familiar with cloud platform development frameworks and knowledge of cloud services and architecture (preferable AWS)*Knowledge of Agile methodology*Strong concepts, analytical thinking, and problem-solving skills*Planning, organization, and facilitation skills.ResponsibilityDevelop advanced Machine learning and deep learning models for predictive analysis*Manage a young team of data analytics developers*Develop necessary data cleansing, statistical, validation and reporting processes*Resolve technical issues to improve performance and company satisfaction*Identifying gaps in the testing processes, generate solutions, and drive continuous improvements*Added advantage with knowledge of AWS.

A Day in the Life of an Online Data Analyst:In this role, you will be working on a project aimed at enhancing the content and quality of digital maps that are used by millions of people worldwideCompleting research and evaluation tasks in a web-based environment such as verifying and comparing data, and determining the relevance and accuracy of information.Qualification pathNo previous professional experience is required to apply to this role, however, working on this project will require you to pass the basic requirements and go through a standard assessment process. This is a part-time long-term project and your work will be subject to our standard quality assurance checks during the term of this agreement.Basic Requirements- Full Professional Proficiency in English & Punjabi language- Being a resident in India for the last 2 consecutive years and having familiarity with current and historical business, media, sport, news, social media, and cultural affairs in India.- Ability to follow guidelines and conduct online research using search engines, online maps, and website information- Flexibility to work across a diverse set of task types, including maps, news, audio tasks, and relevance- Daily access to a broadband internet connection, computer, and relevant softwareAssessmentIn order to be hired into the program, youll take an open book qualification exam that will determine your suitability for the position and complete ID verification. Our team will provide you with guidelines and learning materials before your qualification exam. You will be required to complete the exam in a specific timeframe but at your convenience.

Collect, clean, and analyze data, create dashboards and reports, use Excel/SQL/Python for insights, identify trends, support decision-making, ensure data accuracy, and provide business intelligence for performance improvement.

Job Title: Remote Data Analyst JobCompany: TELUS DigitalJob Type: Freelance Part-Time Remote (Work From Home)Location: Anywhere in India---Job Description:TELUS Digital is hiring Remote Data Analysts to work on AI and digital innovation projects. This role is part-time, flexible, and open to both freshers and experienced professionals.Responsibilities:Online research and data verificationAnalyze digital content (text, images, maps etc.)Provide feedback for AI and data improvementWork independently with accuracyEligibility:Must be living in India for at least 2 yearsGood English reading/writing skillsAwareness of Indian culture & current affairsLaptop/desktop with internet connectionSalary: Task-based, up to 45 LPA

Data Analyst Responsibilities:Managing master data, including creation, updates, and deletion.Managing users and user roles.Provide quality assurance of imported data, working with quality assurance analysts if necessary.Commissioning and decommissioning of data sets.Processing confidential data and information according to guidelines.Helping develop reports and analyses.Managing and designing the reporting environment, including data sources, security, and metadata.Supporting the data warehouse in identifying and revising reporting requirements.Supporting initiatives for data integrity and normalization.Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.Generating reports from single or multiple systems.Troubleshooting the reporting database environment and reports.Evaluating changes and updates to source production systems.Training end-users on new reports and dashboards.Providing technical expertise in data storage structures, data mining, and data cleansing.Data Analyst Requirements:Bachelors degree from an accredited university or college in computer science.Work experience as a data analyst or in a related field.Ability to work with stakeholders to assess potential risks.Ability to analyze existing tools and databases and provide software solution recommendations.Ability to translate business requirements into nontechnical, lay terms.High-level experience in methodologies and processes for managing large-scale databases.Demonstrated experience in handling large data sets and relational databases.Understanding of addressing and metadata standards.High-level written and verbal communication skills.

We are looking to hire a data analyst to join our data team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this role you need a very fine eye for detail, experience as a data analyst, and a deep understanding of the popular data analysis tools and databases.Responsibilities:Managing master data, including creation, updates, and deletion.Managing users and user roles.Provide quality assurance of imported data, working with quality assurance analysts if necessary.Commissioning and decommissioning of data sets.Processing confidential data and information according to guidelines.Helping develop reports and analyses.Managing and designing the reporting environment, including data sources, security, and metadata.Supporting the data warehouse in identifying and revising reporting requirements.Supporting initiatives for data integrity and normalization.Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.Generating reports from single or multiple systems.Troubleshooting the reporting database environment and reports.Evaluating changes and updates to source production systems.Training end-users on new reports and dashboards.Providing technical expertise in data storage structures, data mining, and data cleansing.Requirements:Bachelors degree from an accredited university or college in computer science.Work experience as a data analyst or in a related field.Ability to work with stakeholders to assess potential risks.Ability to analyze existing tools and databases and provide software solution recommendations.Ability to translate business requirements into nontechnical, lay terms.High-level experience in methodologies and processes for managing large-scale databases.Demonstrated experience in handling large data sets and relational databases.Understanding of addressing and metadata standards.

The ideal candidates will have a solid ability to focus on efficiency and problem-solving, and excellent writing and reading comprehension skills ,including experience in creating and composing text within a specified timeCertification in AI/ Datascience/ Machine learningExperience 0-1 yearsExcellent Communication skills (Oral and Written)Qualification: Bachelor's degree (any stream)Candidates from private schools (for 10th and 12th) with an overall percentage of 80% and 75% in English

Link to apply: https://tally.so/r/meE50lBenefits of Joining UsCompetitive Compensation: Rs. 10,000/monthInternational Environment: Gain exposure working with international colleaguesProfessional Growth: Learning and development budgetIndustry Exposure: Gain deep insights into the Fintech industryRequirementsNote: We dont really care about your qualifications as long as we can see that you have sufficient knowledge required for the role and a strong sense of ownership in whatever you do.Refine the current BreakoutAI swing trading strategyResearch and backtest new trading strategiesOptimize the current backend data framework of BreakoutAISimulate different trading scenarios and prepare reportsBuild dashboards to help the sales teamIncorporate suggestions from the Product Development teamTest the trading strategies on more assets such as crypto and forexBe ready for other tasks and responsibilities not directly related to data analysisSkills RequiredData Analysis: Proficiency in analyzing complex datasets and deriving actionable insights.Backtesting: Experience with backtesting trading strategies using historical data.Programming: Strong knowledge of Python or R, and familiarity with SQL.Financial Acumen: Understanding of financial markets, particularly crypto and forex.Data Visualization: Ability to create dashboards and visual reports using tools like Tableau or Power BI.Problem-Solving: Strong analytical and critical thinking skills.Communication: Effective communication skills to collaborate with cross-functional teams.Adaptability: Willingness to take on diverse tasks and learn continuously.

RequirementsNote: We dont really care about your qualifications as long as we can see that you have sufficient knowledge required for the role and a strong sense of ownership in whatever you do.Refine the current BreakoutAI swing trading strategyResearch and backtest new trading strategiesOptimize the current backend data framework of BreakoutAISimulate different trading scenarios and prepare reportsBuild dashboards to help the sales teamIncorporate suggestions from the Product Development teamTest the trading strategies on more assets such as crypto and forexBe ready for other tasks and responsibilities not directly related to data analysisSkills RequiredData Analysis: Proficiency in analyzing complex datasets and deriving actionable insights.Backtesting: Experience with backtesting trading strategies using historical data.Programming: Strong knowledge of Python or R, and familiarity with SQL.Financial Acumen: Understanding of financial markets, particularly crypto and forex.Data Visualization: Ability to create dashboards and visual reports using tools like Tableau or Power BI.Problem-Solving: Strong analytical and critical thinking skills.Communication: Effective communication skills to collaborate with cross-functional teams.Adaptability: Willingness to take on diverse tasks and learn continuously.

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