Data Research Analyst – Financial Services (Remote)

Forbes Advisor; Greater London; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A financial services company in Greater London is seeking a Data Research Analyst to join its editorial team. The candidate will conduct competitive market analysis and oversee a team of researchers to ensure data accuracy and quality for financial products. Responsibilities include project management, delivering actionable insights, liaising with various teams, and potentially managing other analysts. The role requires proficiency in SQL and Tableau, and offers a competitive salary along with comprehensive benefits including medical coverage and generous vacation days.

Benefits

Competitive salary

Medical, dental and vision coverage

35 Days of PTO (Including Bank Holidays)

Every third Friday of the month off

Disability coverage

Employee assistance program

Paid parental leave program

Qualifications

• Degree in a relevant field, such as business or economics, or equivalent training and experience.
• Proficiency in using Tableau and spreadsheets for data analysis and manipulation.
• Proficiency in SQL and Python for data manipulation and visualisation, is highly desirable.
• Experience in working as part of an international team across time zones is desirable.

Responsibilities

• Review data requests for feasibility, usability, and scalability.
• Leverage a team of researchers to collect product and service data.
• Perform analysis on collected data to identify top-quality products and providers.
• Build analyses on Tableau against tight deadlines whilst ensuring accuracy and quality.
• Develop and implement processes for quality control, performing checks on data gathered by the research team and actioning identified errors.
• Communicate with the data research team leads and editorial teams to maintain transparency about the research process.
• Review editorial content resulting from work product for accuracy and completeness.
• Scope for future line management of the analyst(s), monitoring performance and providing support for them to succeed.

Job description

Job Description

We are seeking a Data Research Analyst to join our team and assist our editorial team in creating top-quality content. In this role, you will provide competitive analysis on the market and ensure the quality and accuracy of data collection and analysis for financial products and services relevant. Your research and analysis will be a key component of making trustworthy, relevant assessments of products and services, and will help thousands of businesses make informed decisions about the products and services they use.

You will also be responsible for assigning projects to researchers. You will be liaising with the data research team leads, editorial, methodology, and SEO teams to address challenges, fulfill data requests, and deliver analysis used to produce editorial content on the Forbes Advisor websites. Leveraging project management and data skills, you will help the Finserv division deliver actionable insights on time, with an eye to grow the capability and capacity of the Finserv research team.

Responsibilities

• Review data requests for feasibility, usability, and scalability
• Leverage a team of researchers to collect product and service data
• Perform analysis on collected data to identify top-quality products and providers
• Build analyses on Tableau against tight deadlines whilst ensuring accuracy and quality
• Develop and implement processes for quality control, performing checks on data gathered by the research team and actioning identified errors
• Communicate with the data research team leads and editorial teams to maintain transparency about the research process, stages of analysis, and any hurdles to meeting delivery deadlines
• Review editorial content resulting from work product for accuracy and completeness
• Scope for future line management of the analyst(s), monitoring performance and providing support for them to succeed and develop their career

About You

• Able to leverage project management skills to ensure consistent and on-time delivery across a range of projects and teams with differing and at times conflicting priorities and deadlines
• Takes pride in developing specialist product knowledge, becoming a main point of contact and source of information, while keeping business needs in mind
• Experience with US Financial Services markets, particularly lending products
• Comfortable working in SQL and Microsoft Excel
• Have previously communicated data findings to project stakeholders via dashboards and data visualisations, using software such as Tableau or PowerBI
• You are mindful of maintaining a supportive working environment conducive to helping colleagues and direct reports understand the current state of projects, keeping communication channels clear and open

Qualifications

• Degree in a relevant field, such as business or economics, or equivalent training and experience
• Proficiency in using Tableau and spreadsheets for data analysis and manipulation
• Proficiency in SQL and Python for data manipulation and visualisation, is highly desirable
• Experience in working as part of an international team across time zones is desirable

Benefits

• Competitive salary
• Medical, dental and vision coverage
• 35 Days of PTO (Including Bank Holidays)
• Every third Friday of the month off
• Disability coverage
• Employee assistance program
• Paid parental leave program

Additional Information

Forbes Advisor provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.