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.
