Data Research Analyst- Loans

We are seeking a Data Research Analyst to join our team and assist our editorial team in creating top-quality this role you will provide competitive analysis on the market and ensure the quality and accuracy of data collection and analysis for finicial 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 Finservresearch 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.

Remote Work

Yes

Employment Type

Full-time

Key Skills

Data Analytics,Microsoft Access,SQL,Power BI,R,Data Visualization,Tableau,Data Management,Data Mining,SAS,Data Analysis Skills,Analytics

Experience : years

Vacancy : 1