What are the responsibilities and job description for the Data Analyst position at Credit Connection, LLC?
Informativ LLC offers credit report and compliance solutions to the automotive and general consumer finance industries across the United States. The Company optimizes and automates the consumer finance qualification process through a fast, easy-to-use, and secure software platform made available to its extensive network of software affiliate partners. Informativ’s products and solutions place a heavy emphasis on compliance and identity verification to support the credit application and credit report process. Please visit www.informativ.com for additional information.
About the Role
We are seeking a detailed-oriented and tech savvy Data Analyst to join our team. In this role, you will partner with business stakeholders and other analysts to understand business data needs, capture data requirements, and perform data collection, processing and cleaning. Provide inputs for complex data science and business intelligence projects and perform analytical on large data sets to support departmental and organizational objectives. Work under minimal supervision and use complete understanding of business needs and objectives to support projects that have impact on the achievement of operational goals. Advanced skill set and proficiency with procedures and analysis techniques.
Key Responsibilities:
- Work with technology organization and business end-users to understand data and analysis needs and develop technical requirements including data definitions, business rules, and data quality requirements; conduct data UAT, and data accuracy, validation, integrity research
- Ensure compliance with deliverable reporting requirements by performing quality data audits and analysis
- Identify and compile data sets using a variety of tools to help predict, improve, and measure the success of key business-to-business outcomes
- Analyze and resolve complex data quality issues, utilizing advanced data profiling, cleansing, and monitoring techniques to maintain data integrity and reliability
- Develop and implement advanced data cleaning and validation processes, including outlier detection, imputation methods, and anomaly detection, to maintain data integrity and quality
- Clean and organize raw data and generate descriptive statistics in support of business intelligence and data science projects
- Partner with data science teams to maintain statistical models for ongoing and ad hoc review and analysis of data
- Build working relationships with team members and subject matter experts
- Lead small projects and initiatives
About You
- 5 years plus experience in data analysis and reporting
- Excel skills in power query, pivot tables, VLOOKUP, INDEX MATCH, Macros (VBA)
- Complete knowledge and understanding of business area/specialization
- Skill in data manipulation and scripting languages such as SQL, Python, or R, as well as advanced data cleaning and preprocessing techniques and tools
- Effective skill with ETL tools and techniques, data cleaning, and other analytical techniques required for data usage
- Advanced skill with statistical analysis such as measures of central tendency, normal distribution, variance, standard deviation, basic tests, correlation, and regression techniques
- Advanced skill interpreting, extrapolating and interpolating data for statistical research and modeling
- Knowledge of various data structures and ability to extract data sources (e.g., PowerBI, Tableau or Looker)
- Expert experience in Salesforce
- Strong understanding of data governance principles and practices
- Bachelor's Degree in Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields, preferred
Informativ is proud to be an equal opportunity employer committed to building a "best in class" work environment. We offer a rich benefit package including paid time off, health insurance, and 401(k).
