Data Analyst
Role details
Job location
Tech stack
Job description
Wolfe Research is seeking a motivated and data-driven entry level Assistant to join our Operations team. The associate will be responsible for data management, reporting and automation across all departments at Wolfe. This role will initially focus on the administration, monitoring, integration, and process management for data across the company in all business units. As the candidate is able to take on more, responsibilities will evolve to include Data Engineering work including assistance in building data pipelines, data integration between systems, and documentation and feedback into schemas, lineage and catalogs.
- This role is Hybrid - 3 days onsite (Tues-Wed-Thurs), * Management of data administration for complex and/or sensitive data
- Data monitoring setup to ensure and enforce data management processes
- Work together with other Operations members to operationalize and automate data processes
- Work closely with business stakeholders like Finance, Research, Compliance, Sales & Management to generate business insights that empower decision making
- Input into systems integrations as it relates to data transfer and governance (working with Product Management and Development)
- Perform ad-hoc analysis and reporting, and partner with other team members to operationalize repeated reporting and analyses
- Contribute to machine learning initiatives within Operations as business needs evolve
- Be a data mentor to business stakeholders - educate them on data available to them, how best to utilize that data, and how to level up their data and reporting skills for basic and repeatable use cases.
- Help best practice one team's efficient use of data to other team's across the firm.
Requirements
- Relevant coursework, 0-2 years of data analysis experience
- Demonstrated logic-based thought process
- Experience with collecting, organizing, and querying large complex data sets
- Advanced in Excel
- SQL advanced experience
- Experience with reporting tools such as Power BI, Qlik, Tableau etc
- Experience in Power Automate
- Knowledge of data governance frameworks
- Basic knowledge and usage of version control systems/tools such as Github
- Use of Python coding libraries preferred, basic python knowledge required
- Background in LLM/NLP, machine learning, and/or AI is a plus
Desired Soft Skills
- Proactive mindset with the ability to take initiative and anticipate challenges.
- Strong work ethic, reliability, and accountability for deliverables.
- Ability to balance quality and speed in a fast-paced environment.
- Commitment to team success, including production support responsibilities.
- Adhere to the best practices of the Operations Department.
Benefits & conditions
Pulled from the full job description
- Paid parental leave
- Parental leave
- Health insurance
- Paid time off
- Vision insurance
- Dental insurance
- Disability insurance, At Wolfe Research we feel passionately about equal pay for equal work and pay transparency is an integral practice for that. The compensation for this role is market competitive with a base salary range of $90,000-$115,000. We intend to offer the selected candidate a base salary within this range, based on non-discriminatory factors including but not limited to skill set, job-related experience, and location. In addition, we offer an annual discretionary incentive bonus and competitive employee benefits including: medical, dental and vision coverage; life, accident and disability insurance. Wolfe also offers paid time off packages that include vacation, sick days/leave, paid holidays and paid parental leave.