Associate - Data Science (Bengaluru)

Associate - Data Science (Bengaluru)

05 Nov
|
Catalyst Group
|
Bengaluru

05 Nov

Catalyst Group

Bengaluru

Role Overview

The Associate - Compass will work across analytics, operations, data systems and monitoring, evaluation and learning (MEL) at Catalyst.X, a unit of CMS. The role connects evidence with execution: analysing data, coordinating project delivery, supporting digital tools and helping teams turn insights into practical decisions and actions.

Working closely with the Manager - Data & Insights and programme, field and technology teams, the Associate will contribute to varied assignments across social impact domains. Responsibilities will evolve with project needs, offering exposure to analytical problem-solving, technology-enabled delivery and programme implementation.

Key Responsibilities

Data Management, Systems and Quality

·Support data collection, cleaning, validation and consolidation across projects.

·Maintain project databases, data dictionaries, trackers and reporting formats.

·Identify data gaps, inconsistencies and reporting errors, and coordinate their resolution.

·Support routine data quality checks and improvements in reporting processes.

Analytics, Visualisation and Decision Support

·Analyse programme and operational data to identify trends, gaps and opportunities for improvement.

·Develop and update dashboards, charts and other data visualisations.

·Combine relevant data sources and prepare analytical briefs and presentations for decision-making.

·Translate findings into recommendations for prioritisation, resource use and implementation.

Monitoring, Evaluation and Reporting

·Support the development and tracking of programme indicators and MEL frameworks.

·Prepare periodic monitoring reports,



summaries and programme performance updates.

·Assist with baseline, endline and other programme assessments.

·Track programme progress against agreed targets and deliverables.

Project Operations and Delivery Coordination

·Maintain workplans and action trackers; follow up on milestones, dependencies and pending tasks.

·Coordinate field visits and data collection, including schedules, briefings and logistics.

·Train field teams and partners on indicators, reporting formats, digital tools and data quality.

·Track implementation bottlenecks and escalate delays and support needs to the Manager.

·Support digital tool rollout: document user needs, test updates, log issues and coordinate resolution with technology teams.

Partner Coordination, Documentation and Learning

·Coordinate with teams, clients and partners on project inputs, reporting and delivery.

·Support documentation of programme outcomes, lessons learned and emerging insights.

·Document workflows and help improve tools, processes and MIS systems.

·Participate in programme review meetings and support follow-up on action points.

Qualifications and Experience

·Bachelor's or Master's degree in Statistics, Economics, Social Sciences, Public Health, Development Studies, Data Analytics, Management,



Engineering or a related field.

·1-3 years of relevant experience in analytics, project operations, MEL, data systems or programme coordination.

·Valuable working knowledge of MS Excel or Google Sheets.

·Familiarity with Power BI, Tableau, SQL, Python or other analytical tools would be an advantage.

·Experience with data collection tools such as KoboToolbox, ODK, SurveyCTO or similar platforms is desirable.

·Experience in the development or social impact sector, particularly livelihoods, child protection, education, health or related domains, is preferred.

Key Skills

·Strong attention to detail and ability to work with datasets.

·Analytical thinking, structured problem-solving and an interest in hands-on execution.

·Good written communication and reporting abilities.

·Ability to coordinate across teams, manage timelines and follow through on commitments.

·Adaptability and willingness to learn digital tools, AI applications and analytical methods.

·Understanding of consent, confidentiality, safeguarding and responsible handling of sensitive programme data.

Expected Deliverables

·Validated datasets, data documentation and project trackers.

·Analytical briefs, performance reports and actionable recommendations.

·Dashboards and visualisations supporting programme and operational decisions.

·Documented findings, learning, process improvements and tool issues.

·Updated workplans, reporting calendars, action trackers and field visit or training notes.

·Timely follow-up on operational issues and support to the Manager - Data & Insights.

📌 Associate - Data Science (Bengaluru)
🏢 Catalyst Group
📍 Bengaluru

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