Data Analyst, Research Strategy

Summary

Join the Research Strategy Team at AlphaSense as a Data Analyst. This role involves converting data analytics insights into actionable projects, managing data unification from multiple vendors, leading QA initiatives, planning for new vendor integrations, ensuring vendor SLAs are met, preparing datasets for analysis and QA, improving data quality, extrapolating findings, identifying and solving data issues, and collaborating with engineers, analysts, and product managers. The ideal candidate will be proficient in SQL, have experience with large datasets, and possess excellent problem-solving and organizational skills. A Bachelor's degree in a related field and 3-5 years of experience in market data within a finance context are required. AlphaSense offers various benefits, including growth opportunities, flexible work arrangements, a learning stipend, ongoing feedback and career development, remote work setup, and quarterly updates.

Requirements

• Proficient in SQL to write, debug, and optimize complex queries for data extraction, transformation, and analysis
• Proven ability to extract and manipulate/analyze large datasets
• Excellent logic and problem solving skills
• 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 is required
• 3-5 years working with market data in a finance context, with experience working with engineering teams

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

Preferred Qualifications

• Ability to automate routine reporting tasks using Python, R, or Excel VBA is an asset
• Exposure to cloud-based data services (e.g., Snowflake, Google BigQuery) for scalable analytics is nice to have
• Demonstrated interested in finance and/or financial services is preferred

Benefits

• Growth opportunities in a well-funded, high-growth company that’s aiming to be the new fundamental dataset of record
• Autonomy to create your own schedule and do your best work
• We recognize the advantages of working flexibly. This team primarily works remotely and also has an office located in downtown Vancouver, BC for optional in-office days
• We’re committed to ongoing personal and professional growth and we back it up with a learning stipend, lunch and learns, and guest speakers
• We support your development by providing ongoing feedback, career development, and weekly 1-on-1s
• We’ll set you up to work remotely and effectively with all the equipment you need
• We keep you in the loop through quarterly updates and our company-wide annual retreat to celebrate big wins and milestones