Data Analyst

About our Team:

We are seeking a motivated Entry-Level Data Analyst to join our dynamic analytics team. In this role, you will work with a variety of reporting, AI, and analytical tools to support our mission of delivering high-quality data. As part of our analytics team, you’ll have the opportunity to gain hands-on experience, explore different project types, and make a meaningful impact on our organization.

About the Role:
The Data Operations & Process Analyst is responsible for monitoring, validating, and improving data pipelines and reporting workflows across multiple certification and reporting systems. This role ensures high data integrity, process efficiency, and timely fulfillment of regulatory and customer deliverables.

Key Responsibilities:

• Daily Operations: Monitor overnight processes and data feeds, identify and resolve errors or exceptions, and ensure successful completion of Kettle jobs and ingestion pipelines.

• Data Validation & Exception Management: Run daily queries to detect failed or incomplete feeds; document, track, and escalate discrepancies as needed.

• Quality Assurance & Development Support: Participate in QA testing and release validation; collaborate with developers and analysts on system improvements and deployments.

• Reporting & Metrics: Produce weekly operational KPIs, including project throughput and fulfillment metrics; track and analyze trends for errors and SLA compliance, create reports based on specific feedback from stakeholders.

• Agile & Stakeholder Collaboration: Support sprint planning, backlog grooming, and team ceremonies; coordinate with stakeholders and external partners to communicate updates and resolve issues.

• Audit & Compliance: Conduct monthly data audits and process verifications to maintain accuracy and compliance; document findings for management review.

• Process Optimization: Maintain documentation, develop automation scripts, and continuously refine workflows to enhance efficiency and reduce manual workloads.

Qualifications:

• Strong analytical, data validation, and troubleshooting skills.

• Experience with SQL, ETL tools (e.g., Kettle), PowerBI and process automation.

• Familiarity with Agile environments and QA/release processes.

• Excellent communication and documentation abilities.

U.S. National Base Pay Range: $47,900 - $79,900. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer to our US full- and part-time employees working at least 20 hours or more per week: ● Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits ● Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan ● Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs ● Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity ● Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits ● Health Savings, Health Care, Dependent Care and Commuter Spending Accounts ● In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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