Investment Data Analyst

Job Description:

Investment Data Analyst, Data Strategy-SAI

Description

The Investment Data Analyst role will be responsible for providing scalable, timely, easily consumable and good quality data for consumption by SAI led products and functions. This position will help drive and define strategy for data analysis, management, acquisition, and distribution. Working closely with SAI business as well as technology partners, the position will participate on projects of various size and complexity, including product/platform development and enhancement.

Primary Responsibilities:

• Develop and implement a repeatable process aimed at streamlining the data sourcing, aggregation, quality & distribution
• Research, recommend and implement automation, digitization, and new scalable solutions for distributing data.
• Partner with members of business and technology teams to develop Project and Execution Plans, establish agreed-upon milestones and raise issues, as necessary. Ensure timely production and meet calendar deadlines.
• Participate in other data-related efforts to support ad-hoc reporting and analysis.
• Operationally monitor, govern, and triage data issues arising from nightly batch or real time data sourcing, working with internal and external partners and vendors.

Education and Experience:

• We are seeking a highly motivated, proactive professional with excellent data and interpersonal skills who are eager to learn about asset management!
• 1-3 years or more in a data intensive, hands on environment, preferably within investment management or technology industries!
• Bachelor's Degree required (completed or in progress)!

Skills and Knowledge:

• Good data querying skills using SQL, TOAD, Tableau, Excel, or any other applications.
• Introductory experience with system development projects, business analysis, and data analysis.
• Basic knowledge of asset allocation investment products, Performance, Attribution, Fixed Income and Risk related experience.
• Prior Experience with Reporting and Visualization Tools like Tableau, Spotfire, Alteryx or other BI, Data Prep, Blending etc.
• Basic understanding of AI/ML concepts, R, Python or Scala is preferred.
• Exposure to Private Equity, Private Debt and Private Real Assets data, vendors and investment processes. Any experience with vendors like Preqin, Blue Vault, Pitchbook, Burgiss, Cliffwater etc. is a big plus.
• Understanding of MS Excel (macros, VLOOKUP’s, VBA) and PowerPoint
• Basic project management skills and ability to prioritize multiple work streams, track progress and effectively communicate and handle expectations.
• Basic analytical skills and business judgment.
• Intellectual curiosity and commitment to continuous improvement.
• Interest in CFA / CAIA / Financial Certification is good to have but not required.

The base salary range for this position is $76,000-$144,000 per year.

Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors.

Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.

Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Certifications:

Category:Data Analytics and Insights