Senior Data Insights Analyst
Zellis
- Kochi, Kerala
- Permanent
- Full-time
- Generate actionable insights by analysing a wide range of Operational and Customer data sets and effectively joining the dots to align output to wider business delivery and objectives.
- Establish and maintain strong relationships with multiple key stakeholders, internally and external suppliers, through attendance in meetings, gaining a clear understanding of business objectives, owning of Insights delivery and follow-on actions.
- Extract, collate and explore data from existing platforms and establish relationships between multiple sets of data alongside the identification of additional datasets in support of developing new insights.
- Take ownership for cleansing and documenting existing datasets to support the maintenance and development of reporting and insights.
- Proficient in a wide range of skills, and expert in core data analysis and processing skills, using data to drive decision making via SQL, advanced Excel, APIs, Power BI/DAX, Python and database management
- Follows a methodical approach to identifying and resolving more complex problems
- Defines problem statements and completes the root cause. Independently able to make decisions.
- Proactively raises potential issues/opportunities and provide solutions for medium risks.
- Understands, applies and adapts appropriate methods, tools, applications etc. to solve complex problems.
- Works on more complex improvement opportunities across wider teams, which delivers higher benefits
- Follows set development path for their role, takes the initiative to develop skills and knowledge by identifying (and agreeing with manager) appropriate development opportunities
- Helps less experienced colleagues within the wider Transformation team or business their development in data literacy
- Takes the lead on multiple complex analytics projects and is able to work independently with minimum support.
- Collaborate and communicates proactively with all relevant business stakeholders, to drive results.
- Able to identify various data sources that meet stakeholder requirements.
- Proficient in modelling data in relation to business problems through use of tools such as SQL, Python, or R.
- Strong commercial awareness and understanding of turning data into business value through identification of trends or patterns.
- Analytical approach to work with high level of attention to detail.
- Strong understanding of statistical methods including regression analysis and sampling.
- Ability to communicate key findings effectively to both technical and non-technical stakeholders.