• Screen third parties onboarded by ARROW using Arrow’s compliance tools and publicly available information. • Document and analyze information provided by third parties and screening results, and determine compliance risks identified for third parties. • Take independent decisions about third party onboarding according to Arrow policy. • Recommend measures to mitigate potential compliance risks related to third parties onboarded by Arrow.

• Supports day‑to‑day operations within a Third‑Party Administrator (TPA) healthcare environment • Reviews, validates, and processes member applications, certifications, transfers, appeals, designated representative appointments, documentation, and service requests • Communicates professionally with members, providers, and internal stakeholders • Analyzes documentation submitted with the application • Performs data entry and record updates within member services tools • Maintains accurate and high-quality case notes, documentation, and processing records • Supports quality assurance activities by identifying errors, trends, or potential improvements • Participates in cross‑training and process updates • Contributes to continuous improvement efforts

Role Description We at Coforge are hiring a Lead Technical Business Analyst (#22149) with the following skill set. - Lead business analysis activities for insurance data platforms, defining business rules, financial logic, and data requirements for enterprise reporting and analytics. - Perform hands-on data profiling, source analysis, and data quality assessments, partnering with Data Engineering teams to improve ingestion and transformation processes. - Design and validate conceptual and logical data models that support reporting, reconciliation, historical analysis, API enablement, and self-service analytics. - Collaborate with business, BI, and platform teams to define semantic layers, KPIs, and data products while supporting the migration from legacy reporting solutions to modern Databricks and Power BI platforms. Qualifications - 8+ years of experience as a Technical Business Analyst working with enterprise data platforms. - Strong experience within the insurance industry, including policy, claims, underwriting, customer, billing, or payments data. - Hands-on experience performing data profiling, source analysis, reconciliation, and data quality assessments. - Strong understanding of data modeling, dimensional modeling, and Data Warehousing concepts. - Experience defining business rules, KPIs, semantic layers, and analytics requirements. - Experience working with SQL and collaborating closely with Data Engineering teams on ETL/ELT and transformation logic. - Familiarity with Databricks, Lakehouse architectures, and modern cloud-based analytics platforms. - Experience supporting API-driven data services and designing data for low-latency consumption. - Experience working with Power BI or similar Business Intelligence platforms. - Excellent communication, stakeholder management, and documentation skills. Requirements - Experience with dbt and modern data transformation frameworks. - Familiarity with cloud data platforms such as Snowflake or Azure. - Experience supporting enterprise data migration and modernization initiatives. - Knowledge of Agile delivery methodologies. - Experience enabling self-service analytics and enterprise reporting solutions. Company Description At Coforge, we hire professionals based solely on their skills and qualifications and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Location: MI-Ann Arbor Job Description: Lead Analyst, Revenue Management - Hybrid Ann Arbor, MI, US, 48105 **What you'll need to succeed as a Lead Analyst, Pricing (Revenue Management Strategy) XPO** Minimum qualifications: + Bachelor's degree or equivalent related work or military experience + 4 years of professional experience in quantitative analysis + Solid grasp of economics and supply chains + Expert at collaboration with leaders across an organization to establish and implement pricing strategies and tactical project plans + Self-driven and able to take ownership of a program with minimal support from leadership + Expert at critical evaluation and review processes, making recommendations, influencing the outcome of a decision, improving processes and taking ownership of the results + Excellent written and oral communication skills, including the ability to communicate with all levels of a large organization + Highly organized working style with proven ability to lead and multitask + Proficient in data mining using SQL and Business Intelligence software + Working knowledge of contractual language and agreements + Able to use, evaluate, and contribute to computer-generated decision support models Preferred qualifications: + An advanced degree in finance, economics, data analytics, statistics or mathematics + 4 years of professional experience in quantitative analysis in the transportation or pricing field + Expert in mining data, databases and SQL + Prior leadership experience + Experience with B2B contract negotiations + Working knowledge of statistics and statistical packages in Python, R or similar + Experience in Project Management, Lean Six Sigma or other project/problem solving methodologies **About the Lead Analyst, Pricing (Revenue Management Strategy) job** Pay, benefits and more: + Competitive compensation package + Full health insurance benefits available on day one + Life and disability insurance + Earn up to 15 days of PTO over your first year + 9 paid company holidays + 401(k) option with company match + Education assistance + Opportunity to participate in a company incentive plan What you'll do on a typical day: + Proactively formulate pricing initiatives and, with limited direction from leadership, lead a program by reviewing processes to develop data-driven solutions to increase revenue and margin + Support projects and teammates by providing guidance, problem solving and proposing methodology to drive results + Execute, evaluate and report out on various initiatives to senior leadership + Support the pricing organization with advanced analytical processes and models + Leverage a variety of reports and analyze changes in the competitive landscape to identify high-level trends and strategies to make evidence-based decisions and drive profitable revenue growth + Engage with business counterparts, both internal and external, to develop a relationship with partner teams to identify opportunities to improve revenue and team performance