Position Overview: We are seeking a highly skilled Strategic Data Analyst (SDA) to join our team. This role is pivotal in transforming raw data into actionable insights through advanced statistical analysis, data storytelling, and a strong understanding of business strategy. The ideal candidate will excel in identifying opportunities, solving complex problems, and communicating findings to drive data-driven decisions.
Key Responsibilities:
• Analyze large datasets to identify trends, perform outlier detection, and generate actionable insights.
• Conduct advanced statistical analyses, including regression modeling, hypothesis testing, and exploratory data analysis, to address business questions.
• Develop compelling narratives from data insights, articulating business implications, opportunities, and next steps.
• Collaborate with cross-functional teams to define key business questions and provide solutions through data-driven approaches.
• Create and optimize SQL queries to extract and manipulate data efficiently.
• Use Python or R for advanced data manipulation and statistical modeling.
• Design, implement, and analyze A/B tests and other experimentation methodologies to measure impact.
• Communicate findings effectively to both technical and non-technical stakeholders through visualizations and presentations.
Qualifications:
• Proficiency in SQL and either Python or R.
• Strong statistical foundation, with experience in regression, outlier detection, and hypothesis testing.
• 3+ years of experience in data analytics, business intelligence, or a related field itself
• Bachelor's degree in Data Science, Statistics, Business, or a related discipline.
• Exceptional communication skills with the ability to present complex findings in an understandable manner.
• Detail-oriented, with a strong commitment to accuracy and quality.
• Experience working in a collaborative, fast-paced environment.
Top Skills
• SQL
• Python and R
• the ability to present complex findings in an understandable manner
• Experience Data Analysis and data transition
Additional Information:
Minimum 3+ years in in Data Analytics itself. Should be able to guide/lead a team. Work with technical and non technical stakeholders.
• Analyze large datasets to identify trends, perform outlier detection, and generate actionable insights.
• Conduct advanced statistical analyses, including regression modeling, hypothesis testing, and exploratory data analysis, to address business questions.
• Develop compelling narratives from data insights, articulating business implications, opportunities, and next steps.
• Collaborate with cross-functional teams to define key business questions and provide solutions through data-driven approaches.
• Create and optimize SQL queries to extract and manipulate data efficiently.
• Use Python or R for advanced data manipulation and statistical modeling.
• Design, implement, and analyze A/B tests and other experimentation methodologies to measure impact.
• Communicate findings effectively to both technical and non-technical stakeholders through visualizations and presentations.