Omni Inclusive
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.
- 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.
⢠SQL
- Python and R
- the ability to present complex findings in an understandable manner
- Experience Data Analysis and data transition
- 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.