Technical Data Analyst - Experian Health - Remote

Lensa; United States; Remote; USD 106,000 - 221,000; Full time

Job summary

Lensa, in partnership with Experian Health, seeks a Technical Data Analyst to support data quality and insights. This remote role is essential for effective data reporting and analysis, requiring expertise in SQL, MongoDB, and collaboration with various teams to streamline data systems and enhance reporting accuracy. Applicants should have a strong background with data analysis, advanced degrees welcomed, and a commitment to a people-first culture.

Benefits

Great compensation package and bonus plan

Core benefits including medical, dental, vision, and matching 401K

Flexible work environment

Flexible time off including volunteer time off

Explore benefits at https://yourexperianbenefits.com/cand-index.html

Qualifications

• 3+ years' experience in SQL and MongoDB required.
• 3+ years' experience as a Data Analyst or similar role.
• Experience with data visualization tools and techniques.

Responsibilities

• Write and implement complex SQL queries to manipulate and analyze data.
• Produce detailed reports based on data analysis.
• Collaborate with the SRE team to centralize KPIs.

Skills

Data Analysis

SQL

MongoDB

Data Visualization

Data Integration

Education

Bachelor's degree in Computer Science

Data Science

Information Technology

Statistics

Job description

Technical Data Analyst - Experian Health - Remote

Technical Data Analyst - Experian Health - Remote

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Lensa is the leading career site for job seekers at every stage of their career. Our client, Experian, is seeking professionals. Apply via Lensa today!

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them to save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data and to innovate. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 23,300 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

We're looking for an experienced Technical Data Analyst with SQL and MongoDB expertise. You will report to Experian Health and support stakeholder reporting, centralize Key Performance Indicators with the SRE team, optimize queries, and identify dependencies for our AWS database migration. This role is imperative to ensuring accurate, applicable data insights across the organization.

Data Analysis

You'll have opportunity to work on:

• Work with partners and address their reporting requirements
• Collaborate with the SRE team to centralize KPIs and other data
• Help with query optimization
• Research and identify dependencies to support database migration to AWS
• Query Execution:
• Write and implement complex SQL queries to extract, manipulate, and analyze data
• Perform data retrieval and manipulation using MongoDB queries
• Reporting:
• Produce detailed and actionable reports based on data analysis and query results
• Present findings and insights to partners
• Troubleshoot and resolve data-related issues
  
  

Collaboration

• Work with other team members and departments to understand data needs and provide analytical support
• Collaborate with IT and data management teams to enhance data systems and processes
• 3+ years' experience in SQL and MongoDB required
• 3+ years' experience as a Data Analyst or similar role, with a focus on payer data or healthcare data
• 3+ years' experience with data analysis, data integration, and database management
• 3+ years' experience with data visualization tools and techniques
• Experience analyzing large datasets and extract meaningful insights and presenting complex data and findings concisely
• Bachelor's degree in Computer Science, Data Science, Information Technology, Statistics, or a related field. Advanced degrees or certifications are welcome
• Experience with data integration tools or platforms
• Knowledge of data warehousing concepts and practices
• Familiarity with additional programming languages or data manipulation tools
  
  

Benefits/Perks

• Great compensation package and bonus plan
• Core benefits including medical, dental, vision, and matching 401K
• Flexible work environment, ability to work remote
• Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
• Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html
  
  

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces 2024 (Fortune Top 25), Great Place To Work in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be also eligible for a variable pay opportunity.

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. Innovation is an important part of Experian's DNA and practices, and our inclusive workforce allows everyone to succeed and bring their whole self to work. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

This is a remote position.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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