Senior Data Analyst

Job not on LinkedIn

🔥 13 minutes ago

🤠 Texas – Remote

🤠 Texas – Remote

💵 $125k - $150k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

The Helper Bees

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

📦 Logistics

💼 Consulting

Healthcare • Logistics • Consulting

The Helper Bees is a company that offers innovative solutions for aging-in-place, focusing on providing non-medical services that enable older adults to live independently at home. The company has built a comprehensive platform that supports payers and service providers by integrating services such as long-term care insurance claims support, home care, and digital invoicing. With a nationwide network of credentialed service providers, The Helper Bees ensures quality and streamlined care delivery through ongoing monitoring and a seamless payment process. Their platform helps reduce healthcare costs, improve health outcomes, and supports families throughout the claims process by collaborating with Long-term Care Insurance Carriers and Medicare Advantage Plans.

📋 Description

• Own the recurring invoices and partner reporting for your business line (initially our Long-Term Care Insurance products and their partner book), delivering them accurately and on time every close. • Rebuild reporting on dbt — moving logic out of manual/bespoke SQL and BI-tool calculated fields into tested, traceable, version-controlled models — following a dbt-first approach for all new work. • Build and maintain internal data products — dashboards, BI tools, and self-serve reporting — that business partners rely on, and retire legacy reports as you migrate them. • Write and maintain clean, tested SQL against BigQuery, and ship changes through a Git branch ? PR ? review ? merge workflow. • Build and monitor scheduled data pipelines (e.g., Airflow DAGs) so reporting runs without manual intervention, with exceptions surfaced via alerts. • Build a strong mental map from source system to output — Salesforce UI object ? underlying tables ? dbt model ? report — and use it to find and fix the root cause when numbers look wrong. • Reconcile old vs. new outputs during migrations and hold the line on “matches prior period within tolerance” before decommissioning anything. • Know the business cold: understand each partner’s contract and billing terms (PMPM, per-assessment, flat and admin fees) well enough to recognize why each number is what it is. • Partner directly with business and operations leaders (e.g., LTCI GM, VP of Ops, product managers) to understand priorities, validate reporting, and reconcile analytics against operational ground truth. • Move up the analytics maturity curve — from descriptive reporting toward predictive and prescriptive analysis — bringing hypotheses (not just dashboards) about what drives conversion, cost, and outcomes, and delivering analysis that changes an operational or product decision. • Use AI tooling (e.g., Cursor, Claude Code) to accelerate your work, and share reusable patterns, prompts, and slash commands with the team. • Create and maintain runbooks so your reporting can run through your PTO without a single point of failure. • Flag and fix — rather than preserve — logic that is wrong or unclear; raise risks early when a live report or invoice may be affected.

🎯 Requirements

• Bachelor’s degree in a quantitative or technical field (e.g., Statistics, Mathematics, Computer Science, Information Systems, Economics), or equivalent relevant work experience in lieu of a degree. • 5+ years of experience in data analytics, business intelligence, or a related data discipline, with increasing scope and independence. • Advanced SQL, including writing, debugging, and optimizing complex queries against a cloud data warehouse. • Hands-on experience with dbt (or a strong, demonstrable ability to ramp quickly) — building models, tests, and documentation. • Strong data visualization skills and experience building internal data products and BI dashboards (experience with any modern BI tool, e.g., Power BI, Looker, Tableau, or similar). • Comfort with version control and a PR-based workflow (Git/GitHub). • Experience with a cloud data warehouse (BigQuery preferred; Snowflake/Redshift/Synapse comparable) and familiarity with pipeline orchestration (e.g., Airflow) a plus. • Ability to translate business and contract logic (e.g., partner billing terms) into correct, maintainable reporting. • Strong analytical instincts — able to form hypotheses, dig into root causes, and turn data into recommendations, not just charts. • Excellent communication skills, with the ability to work directly with non-technical business and operations leaders and to explain and defend the numbers. • Self-directed and rigorous, with a high personal bar for accuracy, timeliness, and clean work. • Familiarity with, or willingness to actively adopt, AI-assisted analytics and development tooling.

🏖️ Benefits

• The Helper Bees is committed to building a workplace where diversity, equity, and inclusion are valued and prioritized. • We are an equal opportunity employer that welcomes all qualified applicants without discrimination based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any non-merit based or legally protected grounds. • The Helper Bees provides reasonable accommodations to qualified individuals with disabilities during the job application and interview process. To request accommodation, please let your recruiter know. • As part of our standard hiring process, selected candidates may be required to undergo a background check and/or drug screen. The Helper Bees adheres to applicable federal, state, and local laws regarding these screenings, and the results will be considered in accordance with applicable regulations.