Data & Insights Lead

Designation - Sr. Data and Insights Analys Experience - 5+ Years

Essential Duties / Responsibilities :

Analyze business and operational data to uncover trends, patterns, anomalies, and root causes that inform decision-making.

Translate data outputs from reports, dashboards, or models into clear, concise insights and recommendations tailored to business needs.

Work directly with business stakeholders to understand context and provide deep-dive analysis on priority questions and KPIs.

Partner with BI developers and engineers to ensure analytics outputs are accurate, contextualized, and easy to consume.

Support performance monitoring and KPI analysis for key business initiatives, identifying risks, opportunities, and gaps.

Help shape hypotheses and drive problem-solving through structured data exploration and storytelling.

Collaborate with insight analysts across business domains to bring consistency and share best practices in analysis frameworks.

Contribute to building an enterprise-wide insights knowledge base and reusable analysis templates.

Participate in agile planning cycles and align work with sprint priorities, often working across time zones.

Provide mentorship and analytical support to junior analysts and cross-functional partners when needed.

Required Job Skills :

Solid understanding of statistical techniques, hypothesis testing, and causal analysis.

Business acumen and ability to connect data insights with operational or strategic context.

Proven ability to translate complex data into simple narratives, executive summaries, and decision-support outputs.

Comfortable presenting findings and recommendations to non-technical audiences.

Strong proficiency in analyzing large datasets using SQL, Excel, and scripting tools such as Python or R (preferred but not mandatory).

Experience working with BI / reporting tools (e.G., Power BI) to interpret and work with data.

Effective stakeholder engagement, with strong communication and influencing skills.

Experience working within Agile teams.

Minimum Qualifications :

Bachelor’s degree or equivalent in Business Analytics, Statistics, Computer Science, Engineering, or a related field.

5+ years of experience in data analysis, business analytics, or data science roles in a business or IT setting.

3+ Years of hands-on experience working with data warehouses, cloud platforms, or enterprise data environments.

Demonstrated experience in supporting cross-functional teams with insight-led decision-making.

Exposure to data governance, data quality, or metadata management concepts is a plus.

Certifications in data analysis, statistics, or business analytics (e.G., Microsoft Data Analyst Associate, Google Data Analytics, or equivalent) are a plus.