Senior Data Analyst at The Helper Bees

Austin, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

14 Jan, 26

Salary

0.0

Posted On

16 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, SQL, Python, Data Visualization, Power BI, Tableau, Statistical Analysis, Predictive Analytics, Machine Learning, Project Management, Communication, Mentoring, Cloud Platforms, Big Data Technologies, Business Intelligence, Data Modeling

Industry

Insurance

Description

Description Join our winning team, recently honored on Forbes’ list of America's Best Startup Employers for 2025! The Helper Bees (THB) was created to fill an obvious need in an underserved community. Inspired by love and brought to reality through passion and determination, The Helper Bees was founded to empower older adult citizens and their families in their search for quality, affordable in-home care providers. We do this by providing older adults the ability to easily review, choose, and access affordable quality in-home helpers. The Helper Bees mission is to help people stay home longer through data-driven services that transform both the payer and the care-recipient experience. At THB, we define our company culture through our Core Values: Quickly iterate through solutions - We move at a fast pace which requires quick iterations to find a path to a repeatable solution Seek ways to create immediate impact - Be thoughtful and proactive in how you make an impact on your team. Actively look for ways to make a fast, positive impact. Bee the teammate you want to work with - We work as a team, help each other and encourage each other Ask questions, answer questions - You can't iterate through solutions if you don't ask the right questions which is why there is an expectation that questions should be asked. When you know the answer, being a good teammate means chiming in to get others up to speed. Take the time to celebrate wins - It's so easy for a team that is heads down to forget about all the great things they've accomplished. That's why we make it a priority to remind ourselves to create space to celebrate wins, big or small. Job Summary: The Senior Data Analyst is responsible for leading advanced data analytics initiatives to drive strategic business decisions. This role involves designing and implementing complex data solutions, mentoring junior team members, and serving as a technical expert in data analysis and visualization. The Senior Data Analyst transforms raw data into actionable insights while collaborating directly with senior stakeholders, including managers and clients, to influence organizational strategy and optimize business performance. Supervisory Responsibilities: No direct reports, however must be able to mentor and guide junior data analysts and business analysts Oversee data quality and analysis standards across projects Duties/Responsibilities: Lead complex data analysis projects from conception to delivery, working directly with senior management and external clients to define analytical requirements and strategic objectives. Design and develop advanced SQL queries, data models, and automated reporting solutions to support enterprise-level decision-making. Create sophisticated data visualizations and interactive dashboards using Power BI, Tableau, and other BI tools to communicate insights to executive stakeholders. Architect and implement Python-based data analysis workflows, including statistical modeling, predictive analytics, and machine learning applications. Evaluate and optimize existing data infrastructure, identifying opportunities for process automation and performance improvements. Conduct advanced statistical analysis and A/B testing to measure business impact and validate strategic initiatives. Serve as the primary technical liaison between business units, C-level executives, and external clients, translating complex data findings into actionable business recommendations. Develop comprehensive technical documentation, including data dictionaries, analysis methodologies, and best practices guidelines. Lead strategic planning for data initiatives, ensuring projects align with business objectives and deliver measurable ROI. Drive change management efforts for data-driven processes, including training stakeholders on new analytics tools and methodologies. Perform competitive intelligence analysis and market trend evaluation to inform executive-level strategic decisions. Mentor junior staff and establish data analysis standards and protocols across the organization. Other duties as assigned/necessary Performance Metrics: Strategic Impact Delivery: Percentage of data initiatives that result in measurable business improvements or cost savings (e.g., 85% or higher). Stakeholder Satisfaction: Client and management satisfaction scores for data deliverables and insights quality (e.g., 4.5/5.0 or higher). Project Leadership Success: Percentage of led projects completed on time, within budget, and meeting defined success criteria (e.g., 90% or higher). Requirements Accuracy and Completeness: Percentage of projects with no significant rework or missed requirements after stakeholder approval during the requirements phase (e.g., 95% or higher). Requirements Required Skills/Abilities: Ability to thrive in a fast-paced environment while managing multiple high-priority initiatives Expert-level analytical and problem-solving skills with ability to handle ambiguous business challenges Advanced proficiency in SQL for complex query development and database optimization Expert-level Python programming skills including pandas, numpy, scikit-learn, and data visualization libraries Advanced expertise in BI tools (Power BI, Tableau) including dashboard development and data modeling Exceptional verbal and written communication skills with ability to present to C-level executives Proven ability to manage multiple complex projects and meet tight deadlines Deep knowledge of enterprise business systems (CRM, ERP, data warehouses) Experience with cloud platforms (AWS, Azure, GCP) and big data technologies Strong leadership and mentoring capabilities Passion for driving business impact through data-driven insights Must be 18 years of age or older Education and Experience: 5+ years of experience as a Data Analyst, Senior Business Analyst, or similar analytical role Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related quantitative field Master's degree in relevant field preferred Experience in tech platform or SaaS industry strongly preferred Proven track record of delivering high-impact data solutions for enterprise clients Physical Requirements: Ability to remain at your designated workstation for the duration of the workday Constantly operates a computer and other office productivity machinery, such as a phone and Voice over Internet Protocol (VoIP). The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations. The ability to observe details at close range (typically on a computer screen) This position offers the flexibility of remote work at approved locations within the United States. Candidates must have a reliable internet connection and a designated work environment conducive to professional phone calls and sensitive data. Enjoy the convenience and comfort of working remotely while contributing to our team's success. 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. The Helper Bees was recently made aware of a fraudulent entity posing as our organization and requesting personal information. Please be aware of and protect yourself from scams. Visit the careers page of our website to view all current job openings.

Responsibilities

The Senior Data Analyst leads advanced data analytics initiatives to drive strategic business decisions and collaborates with senior stakeholders to influence organizational strategy. This role involves designing complex data solutions and mentoring junior team members.