Job Description
AlphaSense is seeking a Data Analyst to join their Research Strategy Team. This role involves converting data insights into actionable projects, managing the unification of multiple vendor datasets, and leading QA initiatives. The ideal candidate will possess strong SQL skills, the ability to analyze large datasets, and a demonstrated interest in finance.
Responsibilities: - Convert insights derived from data analytics into actionable projects/requirements
- Manage unification of multiple vendors’ datasets into a singular dataset
- Ideate, plan and lead QA initiatives across multiple datasets
- Proactively scope and plan for integration of new vendors’ datasets
- Ensure vendors are meeting committed SLAs
- Prepare large quantitative dataset for analysis and QA
- Proactively identify and create screens and processes to improve/maintain data quality
- Extrapolate findings from analysis and create actionable next steps
- Identify and solve issues present in data; such as missing values and errors
- Work collaboratively with engineers, analysts and product managers
Requirements: - Proficient in SQL to write, debug, and optimize complex queries
- Proven ability to extract and manipulate/analyze large datasets
- Ability to automate routine reporting tasks using Python, R, or Excel VBA (asset)
- Exposure to cloud-based data services (e.g., Snowflake, Google BigQuery) (nice to have)
- Excellent logic and problem-solving skills
- Demonstrated interest in finance and/or financial services (preferred)
- Excellent organizational skills and attention to detail
- Ability to meet deadlines and to work independently
- Bachelor's degree in Computer Science, Business or related field
- 3-5 years working with market data in a finance context, with experience working with engineering teams
Benefits: - Growth opportunities in a well-funded, high-growth company
- Autonomy to create your own schedule and do your best work
- Learning stipend, lunch and learns, and guest speakers
- Ongoing feedback, career development, and weekly 1-on-1s