Business Intelligence Specialist

Accountabilities • Build and maintain data pipelines: Develop, manage, and optimize data pipelines to extract, transform, and integrate information from multiple business systems.

• Develop data models and SQL solutions: Create and maintain SQL queries, relational database structures, and data models that support accurate, consistent, and scalable enterprise reporting.

• Support data warehouse development: Contribute to the implementation and continuous improvement of a centralized enterprise data warehouse, ensuring data is organized and accessible for business users.

• Improve data quality and reliability: Clean, validate, reconcile, and transform datasets to strengthen accuracy, consistency, completeness, and overall reporting reliability.

• Enable business intelligence and reporting: Develop datasets and support reporting solutions that facilitate historical analysis, performance monitoring, and operational KPI tracking.

• Collaborate with business stakeholders: Partner with Finance, Revenue Operations, and other departments to understand data requirements, address reporting needs, and resolve integration challenges.

• Troubleshoot technical issues: Independently investigate data discrepancies, identify root causes, resolve pipeline or reporting issues, and recommend effective technical solutions.

• Strengthen data infrastructure: Help establish reliable data management practices and scalable technical foundations that support organizational growth and evolving analytical needs.

• Take ownership of technical deliverables: Manage assigned projects and responsibilities proactively, ensuring work is completed accurately, efficiently, and with clear communication to relevant stakeholders.

Requirements

• Professional experience: At least three years of hands-on experience in business intelligence, data integration, database development, or a related technical data discipline.

• SQL and database expertise: Strong SQL skills and practical experience working with relational databases, data modeling, complex queries, and large datasets.

• Data pipeline development: Demonstrated experience building, maintaining, or optimizing data pipelines and integrating information from multiple business applications.

• Cloud data platforms: Familiarity with cloud-based data technologies such as Snowflake, Databricks, Azure data solutions, or comparable platforms.

• Data transformation and quality: Experience with data cleaning, transformation, validation, reconciliation, and historical data management.

• Reporting and visualization: Working knowledge of business intelligence tools such as Power BI, Tableau, or similar reporting platforms.

• Analytical and troubleshooting skills: Strong problem-solving abilities, attention to detail, and the capacity to investigate complex technical issues independently.

• Ownership and initiative: A proactive mindset, with the ability to manage responsibilities autonomously, identify opportunities for improvement, and deliver reliable technical solutions.

• Communication and collaboration: Strong interpersonal and communication skills, including the ability to translate business requirements into practical data solutions and work effectively across departments.

• Preferred enterprise systems experience: Familiarity with Salesforce, financial systems, or other enterprise SaaS applications is an advantage.

• Preferred business knowledge: Understanding of recurring-revenue metrics, financial reporting, operational KPIs, and business performance analysis is beneficial.

• Infrastructure development experience: Previous involvement in building or improving data infrastructure within a growing organization is a plus.

• Work authorization and location: Candidates must be authorized to work in the United States and reside in an eligible state for the fully remote position. Eligible states include AL, AK, AR, AZ, CA, CO, CT, DE, FL, GA, HI, IA, ID, IL, IN, KS, KY, LA, ME, MI, MN, MO, MS, MT, NC, ND, NE, NH, NJ, NM, NV, OH, OK, PA, RI, SC, SD, TN, TX, UT, VA, WA, WI, WV, and WY.

Benefits

• Competitive compensation: Annual base salary ranging from $100,000 to $125,000 , depending on experience and geographic location.

• Retirement savings: 401(k) plan with an employer match equal to 200% of employee contributions on the first 5% of salary, offering a potential employer match of up to 10% of salary.

• Comprehensive health coverage: Medical, dental, and vision insurance, with 99% of premiums covered for employees and their dependents.

• Flexible spending options: Access to Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA).

• Family support: Parental leave and fertility benefits.

• Work-life balance: Paid time off (PTO) to support personal needs and time away from work.

• Community involvement: Volunteer leave and charitable donation matching.

• Professional development: Tuition reimbursement to support continued learning and career advancement.

• Wellness benefits: Gym membership reimbursement to encourage physical well-being.

• Remote work support: Internet stipend to help cover connectivity expenses while working remotely.

• Pet protection: Pet insurance as an additional benefit.

• Remote-first culture: The opportunity to work remotely within eligible U.S. states while contributing to a collaborative technology team.

• Career growth: The opportunity to help build a business intelligence function, develop technical expertise, and contribute directly to the organization's data strategy.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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