Easter Seals Jobs

Data Analyst, Program Analytics

Austin,Texas,United States

Software and Services

As a Program office Analytics Engineer, you will work with massive data across numerous product and customer touch-points, undertaking in-depth quantitative analysis, and distilling data into actionable and intuitive visualizations to drive informed decision-making. A great fit for this role can communicate and collaborate across many different teams, has an agile approach to solving challenging problems quickly, and stresses the details.

Description

We are looking for you to design and build executive reporting solutions, highly polished dashboards, and exploratory self-service tools, as well as the datasets that power them to analyze and present insights associated with customer experience, product performance, business operations, and strategic decision-making. Often you will closely partner with our Senior Leadership Team to define metrics, design datasets, and develop the automation strategy. Extensive collaboration with Business, Engineering, and Enterprise teams is vital to our success. In this role, you will iterate with these teams on key business outcomes, influence how our services are measured, and craft world-class tools and insights to support them at scale. As your ideas take shape, you will establish and socialize a comprehensive roadmap to communicate and manage stakeholder expectations while enabling org-wide transparency on progress. This role will require extensive experience taking complex, multifaceted projects from idea to production - preferably in a lead capacity. Ideally, you have a curious business mindset with the ability to condense complex concepts and analysis into clear and concise takeaways that drive action. We’re looking for someone known for effectively bridging analytics and business teams, with an ability to masterfully speak the language of both.

Minimum Qualifications

• 5+ years of experience in a Data Visualization, Data Scientist, or Data Analyst role.

• Expertise in data visualization tools such as Tableau, PowerBI, etc., for analysis, insight synthesis, report design and development, and executive presentations.

Key Qualifications

Preferred Qualifications

• Proficiency in SQL, Python, and Spark, with experience handling large datasets.

• Familiarity with data engineering tools and concepts, including data pipeline development, data model design, and aggregation strategies to support responsive and interactive data products.

• Excellent communication, interpersonal, and presentation skills with a keen eye for detail.

• Bachelors Degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.

Education & Experience

Additional Requirements

• Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)

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Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (Opens in a new window) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.

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