1. Create, review, and submit weekly insight reports for overall dashboards that provide actionable insights and recommendations
2. Create weekly and monthly reports delivered via Excel spreadsheets, BI tools, or click-stream analytics tools

1. Perform basic data analysis tasks, such as creating charts, tables, and pivot tables

2. Create reports and dashboards to visualize data

3. Support data analysis projects by running analysis tasks, collecting data, and creating data models.

4. Participate in team meetings and provide report on your work

5.Continuously learn new data analysis techniques

1. Help in data mining
2. Data interpretation and analysis using statistical techniques
3. Report generation

1. Provide support in performance & long-term behavior analysis of a considerable number of PV assets across Asia
2. Work on big data analysis of PV systems vs weather parameters in the search for relevant trends
3. Liaison with other IT vendors, freelancers, and team members located in different geographies
4. Generate high-level system performance data for various internal & external stakeholders

1. Assist in collecting, organizing, and analyzing data from various sources
2. Support the data analytics team in developing and maintaining data models and dashboards
3. Perform data cleansing, validation, and visualization to identify trends and patterns.
4. Collaborate with team members to extract insights from data and generate actionable recommendations
5. Participate in meetings and brainstorming sessions to contribute ideas and insights
6. Stay up-to-date with industry trends and emerging data analytics techniques

1. Use Microsoft Excel to segment and bifurcate data of recruiters
2. Follow predefined criteria for segmenting the data
3. Verify and ensure the accuracy of data entries
4. Prepare and maintain records of segmented data in an organized manner
5. Assist in identifying and resolving any data entry issues
6. Maintain confidentiality and security of all data entries
7. Communicate and collaborate effectively with team members and supervisors

1. Work on being the go-to expert for designing, building, and managing the lifecycle of data products
2. Deliver critical insights, ensuring data-driven decision-making is at the core
3. Drive the rhythm of the business, partnering with operations leadership to drive business strategy
4. Work on planning, goal-setting, and performance tracking
5. Scope and lead mission-critical projects and execute strategic initiatives
6. Wrangle large, highly complex datasets using Python/SQL into actionable insights
7. Develop metrics and large-scale dashboards to track the health of our user-facing and internal teams
8. Perform analyses (using Python/SQL & other analytical tools/languages)
9. Conduct research and build models, all to deliver objective, critical insights that can inform the leadership of opportunities, risks, and strategic priorities

1. Create Power BI dashboards for the company by connecting with the existing database of the company website (types of dashboards to work with: sales, HR, and management)
2. Work with highlights and other triggers for the dashboard

1. Work on data extraction: use SQL queries to extract relevant data from databases for reporting and analysis purposes

2. Work on Google Analytics reporting: monitor, analyze, and create reports using Google Analytics to track website and app performance, user behavior, and the effectiveness of marketing campaigns

3. Work on data visualization & reporting: create clear and concise visualizations, charts, and dashboards to effectively communicate key insights and trends

4. Work on preparing weekly performance reports: prepare weekly performance reports, including KPIs and metrics relevant to the business, and present them to the team or management

5. Work on ad-hoc data analysis: perform ad-hoc data analysis based on specific business needs or requests from team members, providing actionable insights

1. Developing and applying advanced analytics techniques to data sets.
2. Interpreting data and providing meaningful insights to support decision-making.
3. Developing data pipelines and automating processes.
4. Designing and building data visualizations with Tableau.
5. Creating and maintaining data warehouses and data models.
6. Assisting in the development of algorithms and models.
7. Developing and managing SQL databases.
8. Troubleshooting and debugging issues.
9. Familiarity with Fantasy football & interest in Football is a plus.

1. Working closely with stakeholders (both internal and external) to centralize high-quality data from various sources.

2. Analyze and provide analytical insights with business intelligence tools (e.g. Tableau, Qlik Sense, PowerBI etc) in meeting business expectation and objective

3. Assess quality of data through various techniques.

4. Communicate data insights and outliers through impactful data visualization and storytelling.

5. Generating and communicating clear, compelling and actionable insights.

6. Maintaining dashboards and reports.

7. Gathering data through various sources and analytics tools.

8. Ensuring that client facing and internal reporting is done in a timely manner.

9. Learning one of the domain ( Finance, Risk , Growth or Ops)

• On-chain data analysis process design.
• Hashed Portfolio (L1/L2 and Protocol) Derivation and Analysis of On-Chain Data Indicators.
• L1/L2 and protocol trend monitoring.
• Content creation using on-chain data.

1.Responsible for assisting the data analysis team in collecting, analyzing, and interpreting large sets of data to identify trends and insights that drive business decisions.
2.To ensure that data is accurate, timely, and relevant, and that it is presented in a clear and understandable format.

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1. Handling Data analysis projects
2. Taking end-to-end ownership

1. Use google analytics and other analytics software for data mining and analysis.
2. Well versed with social media tools like LinkedIn, Facebook, Twitter.
3. Establishing statistical validity of the data, conducting hypothesis testing (using R/Python/Excel as required)
4. Conducting exploratory analysis on the data and providing actionable insights
5. Building reports in Excel, Tableau Looker etc.
6. Working upon day-to-day data analysis requirements, data visualization, and any data and reporting requirements
7. Implement new algorithms for optimization, recommendation, attribution and emerging real-time consumer analytics.

1.Validating raw data quality and transforming the data using SQL and/or MS Excel
2.Loading the transformed data to SQL server using manual uploads and/or SSIS
3.Performing quality checks on the data, and suggesting improvements to improve data quality
4.Developing complex algorithms in SQL based on discussions with clients and the service delivery team
5.Coding and scripting (SQL) for automating data transformation and loading specified by Service Management team
6.Build customer dashboards accessing internal databases to help the whole team understand recruitment/acquisition, sales, churn, upsell and other key customer metrics
7.Build/customize dashboards using third party platforms to help the team understand marketing performance in email and SMS

1. Interpret data, use statistical methods to examine outcomes, and produce continuous reports.
2. Identify, assess, and interpret trends or patterns in complex data sets.
3. Develop and implement databases, data collection systems, data analytics, and other strategies that maximize statistical efficiency and quality.
4. Data mining ability
5. Acquire data from primary or secondary data sources and maintain databases/data systems.
6. Develop and implement databases, data gathering methods, data analytics, and other tactics that maximize statistical efficiency and quality.
7. Clean up and filter data by looking over computer printouts, reports, and performance indicators to find and fix coding issues.
8. Discover and describe fresh opportunities for process improvement

1. Interpret data, analyze results using statistical techniques and provide ongoing reports
2. Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
3. Acquire data from primary or secondary data sources and maintain databases/data systems
4. Identify, analyze, and interpret trends or patterns in complex data sets
5. Filter and clean data by reviewing computer reports, printouts, and performance indicators to locate and 6. correct code problems
7. Work with management to prioritize business and information needs
8. Locate and define new process improvement opportunities

1. Research and analyze valuable data coming from BMS and automate processes
2. Perform preprocessing of structured and unstructured data
3. Review large amounts of information to discover trends and patterns in order to
4. provide suggestions to the R&D team
5. Create predictive models and machine-learning algorithms
6. Organize and present information using data visualization techniques
7. Work together with engineering and product development teams to understand
the product behavior, and suggest improvements.

• Getting data from social media to analyze and categorize data
• Analyzing data to provide insightful information

• Assisting with the business case
• Planning and monitoring
• Eliciting requirements
• Requirements organization
• Translating and simplifying requirements
• Requirements management and communication
• Requirements analysis
• Implement advanced strategies for gathering, reviewing, and analyzing data requirements
• Prioritize requirements and create conceptual prototypes and mock-ups
• Master strategic business process modeling, traceability, and quality management techniques
• Apply best practices for effective communication and problem-solving

Responsibility-
1. Hiring nutrition interns
2. Contacting doctors as partners
3. Hiring marketing interns
4. Certificate (CoC)
5. Letter of recommendation (Performance Based)
6. Flexible working hours
7. Learn real-world knowledge, work ethics, team spirit.
8. Monthly Awarding System.

1. Use google analytics and other analytics software for data mining and analysis.
2. Well versed with social media tools like LinkedIn, Facebook, Twitter.
3. Establishing statistical validity of the data, conducting hypothesis testing (using R/Python/Excel as required)
4. Conducting exploratory analysis on the data and providing actionable insights
5. Building reports in Excel, Tableau Looker etc.
6. Working upon day-to-day data analysis requirements, data visualization, and any data and reporting requirements
7. Implement new algorithms for optimization, recommendation, attribution and emerging real-time consumer analytics.
8. Preparing and maintaining master report for entire set of activities, including daily activity, daily spends of SMM SEM Campaigns Client wise etc
9. Communicate Coordinate with internal teams for various data requirements
10. Reports preparation, maintenance of data, making reports in Google excel Sheet.
11.Admin Data Management.

1. Strong analytical skills with the ability to collect, organize, analyse complex data with attention to detail and accuracy.

1. High quality data (Financial / Non-Financial Data) collation, analysis, extraction and entering the data in work tools as per guideline specifications for assigned vertical
2. Understand the working of the dataset, be aware of the workflows and have strong working knowledge of work tools
3. Providing input and ideas for new collection methods and product enhancements related to the dataset
4. Deliver on predefined individual and team targets including delivering outcomes with quality and excellence.
5. Create tech expertise within department
6. Troubleshoots problems or issues and support team in enhancing the workflow/processes for department
7. Reviewing feedback involving transactions content to help correct errors and establish or refine procedures and processes to improve accuracy

1. Bachelors degree in Engineering (Mechanical, Automobile, Electrical, Electronics its allied branches) is a must
2. Self-motivated with ability to work both independently and collaboratively within a team
3. Strong Analytical and problem-solving skills
4. Ability to understand engine terminologies
5. Experience in condition monitoring is recommended
6. Excellent attention to detail, highly organized and process oriented
7. Excellent verbal and written communication skills
8. Strongly skilled in PowerBI or any other
9. Experience in utilizing business intelligence tools like Tableau or equivalent is a required skill Experience

Collect, process, and analyze large and complex data sets to identify trends, patterns, and insights that can inform business decisions.
Develop and maintain data models, databases, and data systems to ensure data accuracy, completeness, and reliability.
Design and develop data visualizations and reports that clearly communicate data insights to business stakeholders.
Collaborate with cross-functional teams to identify data needs and requirements, and to develop and implement data-driven solutions to business problems.
Develop and maintain data documentation, including data dictionaries, codebooks, and data quality checks.
Continuously monitor data quality and integrity to ensure accuracy, completeness, and consistency of data.
Stay up-to-date with emerging trends and best practices in data analysis, and recommend improvements to existing processes and systems.

Analyze the data and create models Competitive analysis Create analysis dashboards

1. Managing extensive data cleaning, analysis and interpretation of survey responses.
2. Helping develop reports and analysis.

1. Help aggregate, clean, and organize data for machine learning applications
2. Engage in the accurate and efficient annotation of data (image/text)
3. Provide feedback and reporting bugs and issues regarding the annotation software to the ML team
4. Review, update and analyze annotations created in a regular interval
5. Defect logging, tracking, and verification
6. Tag and annotate large volumes of documents to serve as input for the machine learning team
7. Enrich text, images, video, and speech/ audio data

1. To perform activities such as collecting and interpreting data
2. Must be able to analyse results based on researched data
3. Reporting the results back to the relevant members of the business
4. Identifying patterns and trends in data sets
5.Working alongside teams within the business or the management team to establish business needs
6. Defining new data collection and analysis processes

1. Ensure daily data refreshes for Anvizent clients
2. Create and modify data sets
3. Perform data validations using SQL queries for optimal results and quick turnaround
4. Participate in system testing activities
5. Adhere to agreed schedules
6. Support other key stakeholders in day-to-day activities
7. Contribute to applicable documentation and provide support on necessary tools

1. Do data analyses and statistical techniques to develop solutions to get meaningful information of data to guide business decision making
2. Identify predictors and causes of business-related problems and implement novel approaches related to forecasting and prediction
3. Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations
4. Collaborate with multiple teams as a leader of quantitative analysis and where develop solutions that utilize the highest standards of analytical rigor and data integrity
5. Analyze and solve business problems at their root
6. Do RCA on the reports being prepared
7. Apply EDA methods wherever required in the data
8. Apply conditional formatting and formulas like (import range, Query, Unique, and sumifs) in google spreadsheet
9.Automate manual tasks VIA python or Macros

1. Assisting in data collection and management
2. Cleaning and organizing data
3. Conducting basic statistical analysis
4. Creating data visualizations and dashboards
5. Presenting findings to the team and other stakeholders
6. Collaborating with other departments to identify areas where data analysis can drive business improvements

1. Interpret data, analyze results using statistical techniques and provide ongoing reports
2. Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
3. Acquire data from primary or secondary data sources and maintain databases/data systems
4. Identify, analyze, and interpret trends or patterns in complex data sets
5. Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and
6. correct code problems
7. Work with management to prioritize business and information needs
8. Locate and define new process improvement opportunities

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1. Work on data wrangling and data preparation
2. Process, cleanse, and verify the integrity of data used for analysis
3. Perform ad-hoc analysis and presenting results clearly
4. Develop custom data models and algorithms to drive solutions for the business problem, particularly in the area of retail revenue leakage capture
5. Write queries to mine data and capture key insights
6. Build insightful dashboards to visualize data
7. Provide actionable insights by churning large volumes of data sets by using efficient queries.

1. Use theoretical knowledge to bring a fresh perspective to the various day to day activities
2. Participate in weekly review meetings with various teams.
3. Work with reporting manager, business heads, and internal teams/production heads to capture data and present insights.
4. Feed Data into ERP Software

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