Wb Analyst i, im engineering Jobs – 148 Open Jobs Today

Data Analyst
The We Foundation, Kolkata —Kolkata, West Bengal
- ₹10,000.80 - ₹16,500.98 a month
- Email
- Microsoft Excel
- Data analysis skills
- Research
- Flexible schedule
- Paid sick time
Quick apply
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Data Analyst

The We Foundation, Kolkata
Kolkata, West Bengal

Quick apply

Job details

Full-time | Contractual / Temporary
₹10,000.80 - ₹16,500.98 a month
4 days ago

Benefits

Flexible schedule
Paid sick time

Qualifications

Statistical software
Statistics
Power BI
Economics
Microsoft Excel
Business intelligence
Statistics
R
Data analysis skills
Research
Tableau
Stata
SQL
Statistical analysis
Analysis skills
Quality assurance
Bachelor's degree
Machine learning
Regression analysis
Predictive analytics
Pivot tables
Data science
Data visualization
SPSS
Python
Analytics

Full job description

Data Analyst

Location: Kolkata
Department: Research & Analytics
Experience: Fresher or up to 1 Year

About the Organisation

The WE Foundation (TWF) is a registered non-profit organisation dedicated to building resilient communities and sustainable families through innovative, community-owned development models. Established in 2011 and operating at scale since 2019, TWF works across key areas including education, health, WASH (Water, Sanitation and Hygiene), women’s health and hygiene, poverty alleviation, and climate resilience. Driven by the belief that lasting change begins at the grassroots, we collaborate with communities, governments, corporates, and development partners to create sustainable solutions that improve lives and strengthen local ecosystems.

Role Overview

The WE Foundation is looking for a creative and detail-oriented Data Analyst, who is responsible for transforming raw data into meaningful insights that support strategic planning, program implementation, and organizational decision-making. The role involves collecting, cleaning, validating, analysing, and interpreting data from multiple sources to identify trends, measure performance, and generate actionable recommendations. The Data Analyst will use statistical and analytical tools such as SPSS and STATA, along with advanced Excel and data visualization platforms, to prepare reports, dashboards, and presentations for internal teams and external stakeholders. The ideal candidate should have strong analytical, statistical, and problem-solving skills, with the ability to communicate complex findings in a clear and concise manner while ensuring data accuracy, quality, and confidentiality.

Key Responsibilities

Data Analysis & Statistical Modelling

· Conduct quantitative and qualitative data analysis using SPSS, STATA, and other statistical software.

· Perform descriptive and inferential statistical analyses, including regression, hypothesis testing, correlation, and trend analysis.

· Interpret complex datasets to identify patterns, trends, and actionable insights that support organizational goals.

Data Collection & Management

· Collect, compile, clean, validate, and manage data from multiple sources to ensure accuracy, completeness, and consistency.

· Design and maintain databases, datasets, and data management systems for efficient storage and retrieval.

· Ensure data quality through regular verification, validation, and quality assurance processes.

Reporting & Data Visualization

· Prepare analytical reports, dashboards, scorecards, and presentations for management, clients, and stakeholders.

· Present findings in a clear, concise, and visually appealing manner using charts, graphs, and data visualization tools.

· Generate periodic and ad hoc reports to support project monitoring, evaluation, and decision-making.

Monitoring, Evaluation & Research Support

· Support monitoring and evaluation (M&E) activities by analysing program and project data.

· Assist in designing survey questionnaires, data collection tools, and sampling methodologies.

· Conduct data validation, statistical testing, and impact assessments for research and evaluation studies.

Collaboration & Stakeholder Support

· Work closely with program teams, researchers, and management to understand data requirements and provide analytical support.

· Translate complex analytical findings into actionable recommendations for technical and non-technical stakeholders.

· Provide technical guidance on data collection, analysis methodologies, and statistical techniques.

Qualifications

· Bachelor's degree in Statistics, Mathematics, Economics, Data Science, Computer Science, Business Analytics, Social Sciences, Public Health, or a related quantitative field.

· Freshers or candidates with up to 1 year of experience in data analysis, statistical research, monitoring & evaluation (M&E), business intelligence, or a similar analytical role.

Required Skills

· Proficiency in SPSS and STATA for data management, statistical analysis, and interpretation.

· Strong knowledge of descriptive and inferential statistics, including regression analysis, hypothesis testing, correlation, ANOVA, and predictive modelling.

· Advanced proficiency in Microsoft Excel, including Pivot Tables, Power Query, advanced formulas, charts, and data analysis tools.

· Experience with SQL for data extraction, querying, and database management.

· Familiarity with Power BI, Tableau, or other data visualization tools for creating interactive dashboards and reports.

· Working knowledge of R* or Python* for statistical analysis, data automation, and predictive analytics is an added advantage.

· Knowledge of research methodologies, survey design, sampling techniques, and Monitoring & Evaluation (M&E) frameworks.

What We Offer

· Opportunity to contribute to impactful, data-driven projects that support organizational growth and informed decision-making.

· A collaborative, inclusive, and purpose-driven work environment that values innovation and analytical thinking.

· Involvement in research, monitoring & evaluation (M&E), and evidence-based program planning and reporting.

· Opportunities to enhance skills in business intelligence, data visualization, predictive analytics, and data management.

To Apply: Please email your CV along with a brief cover letter outlining your relevant experience to [email protected]

Pay: ₹10,000.80 - ₹16,500.98 per month

Benefits:

Flexible schedule
Paid sick time

Work Location: In person

Quick apply

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