Sr Data Steward and Analyst (Remote - US) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

29 Jan, 26

Salary

0.0

Posted On

31 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Governance, Data Quality, SQL, Cloud Data Platforms, Data Visualization, Credit Risk, Underwriting, AI/ML, Data Engineering, Excel, Communication, Problem-solving, Collaboration, Data Analysis, Reporting, Dashboards

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr Data Steward and Analyst in the United States. We are seeking a highly analytical and detail-oriented data professional to ensure the integrity, accuracy, and usability of business-critical datasets. In this role, you will act as the primary advocate for data governance, defining standards, documenting lineage, and monitoring quality across multiple domains such as credit, underwriting, and fraud prevention. You will collaborate closely with cross-functional teams including Product, Finance, Operations, and Engineering to drive actionable insights from large-scale data. The position blends technical expertise with strategic thinking, providing opportunities to influence AI-driven decision systems while fostering a culture of data excellence. Ideal candidates are strong communicators, independent problem-solvers, and passionate about creating a trusted, reliable data ecosystem. Accountabilities Own and maintain the business glossary and data dictionary, ensuring all fields, metrics, and tables are clearly defined and properly documented. Monitor and improve data quality by building dashboards to track completeness, accuracy, timeliness, and consistency of key datasets. Define and implement data standards, naming conventions, validation rules, and quality thresholds in partnership with Engineering and Product teams. Document data lineage and dependencies from source systems to downstream models and reporting tools. Act as the go-to expert for interpreting data definitions, business rules, and metrics for cross-functional teams. Mine and analyze large-scale datasets to provide actionable insights for credit risk, fraud prevention, and operational decision-making. Build, maintain, and automate reporting dashboards to track KPIs and support Finance, Risk, and Executive teams. Collaborate with Data Engineering to ensure pipelines are reliable, secure, and aligned with governance standards. Support AI/ML initiatives by performing exploratory analysis, feature validation, and ensuring data quality for modeling. Bachelor’s degree in Data Science, Statistics, Finance, Computer Science, or a related field. 4+ years of experience in data analytics, business intelligence, or related roles, preferably in fintech, financial services, or credit risk. Advanced SQL skills and experience with cloud data platforms such as Snowflake, Redshift, Athena, or BigQuery. Experience with data visualization tools like Tableau, Power BI, or Looker to create intuitive dashboards for business stakeholders. Solid understanding of credit risk concepts, underwriting processes, and key lending KPIs. Exposure to AI/ML decision systems, particularly in underwriting, credit scoring, or fraud detection. Knowledge of data engineering principles and modern data stack tools (dbt, Airflow, ETL pipelines). Proficiency in Excel for detailed analysis and reporting. Excellent problem-solving, communication, and cross-functional collaboration skills. High standards for data governance, integrity, and regulatory compliance. Bonus Skills: Experience with Python or other scripting languages for automation and advanced analytics. Familiarity with machine learning model validation and feature engineering. Comprehensive Health Care Plan (Medical, Dental, Vision) Retirement Plan (401k, IRA) with employer contributions Life Insurance coverage Unlimited Paid Time Off and 9 paid Holidays Family Leave benefits Work-from-home flexibility Access to coworking memberships and free food/snacks Wellness resources and programs to support mental and physical health Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company offering the position. The final decision and next steps (such as interviews or additional assessments) are handled by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

The Sr Data Steward and Analyst will ensure the integrity, accuracy, and usability of business-critical datasets while acting as the primary advocate for data governance. Responsibilities include monitoring data quality, defining standards, and collaborating with cross-functional teams to drive actionable insights.