
Senior Data Analyst
1 week ago
Prescience Decision Solutions
is a cutting-edge analytics and AI consulting firm, delivering high-impact data-driven solutions across a wide range of industries. We partner with top-tier global MNCs and contribute to critical projects with industry leaders like
Movate
, while also developing and deploying innovative solutions for our own flagship initiatives. Our expertise spans advanced analytics, AI/ML modeling, decision intelligence, and digital transformation—empowering businesses to unlock actionable insights and drive strategic outcomes. At Prescience, we don't just analyze data—we transform it into decisive competitive advantage.
Prescience Decision Solutions
, honored as a Top-Three Startup in People Excellence by xto10x, boasts a 97-percentile employee NPS, 100% mutual respect among employees, and a 98% employee pride rate.
For more details visit:
Job Description:
Role: Senior Data Analyst
Location: Bangalore
Key Responsibilities:
- Collaborate with stakeholders across business functions to understand data needs and deliver impactful insights.
- Extract, clean, and analyze data from multiple sources using SQL, Python/R, or other analytics tools.
- Develop dashboards, reports, and visualizations to track key performance metrics and trends.
- Perform advanced statistical analyses including segmentation, regression, cohort analysis, and A/B testing.
- Lead efforts to improve data quality and ensure consistency across datasets.
- Communicate analytical findings clearly to technical and non-technical audiences through presentations and reports.
- Mentor junior analysts and promote best practices in data analysis and storytelling.
- Support data-driven decision making by identifying opportunities for process improvements and optimization.
Required Skills & Qualifications:
- Bachelor's or master's degree.
- Minimum 6+ years of relevant experience in data analytics, business intelligence, or related roles.
- Mandatory
- Strong proficiency
in SQL for querying large databases
. - Mandatory
- Experience with data visualization tools such as
Tableau or Power BI - Mandatory
- Proficiency in programming languages such as
Python or R
for data manipulation and statistical analysis. - Solid understanding of statistical methods and experimentation techniques (A/B testing, hypothesis testing).
- Excellent communication skills, with the ability to translate complex data insights into actionable business recommendations.
- Experience working with cloud data platforms (AWS, GCP, Azure) is a plus.
- Ability to work independently as well as collaboratively in cross-functional teams.
Preferred Qualifications:
- Experience in customer analytics, product analytics, or marketing analytics.
- Knowledge of data engineering principles and ETL processes.
- Familiarity with Agile methodologies and project management tools.
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