Sr Product Analytics

POSITION
The Digital Innovation Group (DIG) at Providence Health & Services is a small but mighty product development and incubation team that is building next-gen tools that give patients convenient and easy access to healthcare virtually anywhere, anytime.
The Sr.
Product Analyst will use their strong data analysis skills and problem-solving capabilities to drive our business forward .
You will be responsible for analytics in our product lines from a high level ( Is this feature working? Where do users drop off? Are our business goals being met? ) to low level execution ( What data is needed to help the business ? What's the best way to implement tags and ensure data quality? ).
Product Analyst will work through the entire product development process contributing to the business thinking and translating business requirements into experiments including implementing the appropriate tagging strategy .
In a nutshell , you will be responsible for providing actionable insights to our business stakeholders through excellent storytelling, analytics prowess, and building an analytics infrastructure and platform.
The right candidate will thrive in a collaborative environment, posse a keen analytic mindset, and is committed to transforming raw data into actional business strategies.
RESPONSIBILITIES
Showcase your ability to anticipate, identify, structure, and solve critical business problems with data, providing valuable insights that lead to data drive decisions.
Shape the future of our products through insightful analysis and strategic thinking that addresses users' needs.
Be a detail-oriented professional who excels in managing data discrepancies, reporting downtime, and communicating effectively with key stakeholders.
Instrumental in implementing robust tagging strategies, utilizing your expertise in tag management systems.
Your responsibilities include creating meticulous tagging specifications for web and mobile platforms, strategically placing tags, and ensuring seamless integration.
Your in-depth understanding of analytics infrastructure and platforms will be crucial in driving data-driven insights that fuel our product enhancements.
Visualize key metrics on an ongoing basis, providing real-time insights into product performance.
Dive deep into audience segmentation, creating targeted visualizations that unveil nuanced patterns and trends.
Harness common visualization capabilities to craft engaging and informative reports that resonate with diverse stakeholders.
Leverage strong storytelling skills to distill intriguing and hard-to-find insights into concise, compelling data stories.
Translate data analyses into narratives that resonate with stakeholders, making complex information accessible and actionable.
Provide deep analysis that goes beyond surface-level observations, offering insights that align with business goals.
Deliver actionable recommendations to business stakeholders, leveraging your analytical expertise to drive informed decision-making.
Collaborate closely with product design and user research teams to provide insights that guide design decisions.
Bridge the gap between data and design, ensuring that your insights contribute to creating user-centric and impactful products.
Consistently collaborate across disciplines and ensures that the right people with the right knowledge and expertise are involved.
Proactively resolves upstream dependencies and demonstrates an ability to resolve conflict.
QUALIFICATIONS
Required qualifications:

Bachelor's Degreein Computer Science , Information Technology, Data Analytics or Statistics, Mathematics, Applied Mathematics, and Data Science.
Or equivalent experience.
5+ years experience in a similar role.
Ability to effectively build relationships with customers, executive management, and other stakeholders through positive interaction and problem identification and resolution.
Demonstrates a high level of accuracy, even under pressure.
Ability to exercise sound judgment and make decisions based on accurate and timely analysis.
Ability to work within tight timeframes and meet strict deadlines.
Excellent analytical skills.
Must be comfortable seeking out and piecing together fragments of information, extrapolating, recognizing patterns and drawing conclusions from partial data.
Write SQL and regular expression statements.
Manipulation and analysis of large complex data sets.
Familiarity with SQL or NoSQL databases and data warehouses/lakes.
Preferred qualifications:

Master's Degree in Computer Science , Computer Science, Information Technology, Data Analytics or Statistics, Mathematics, Applied Mathematics, and Data Science.
Pay Range:
$56.19-95.67 USD Hourly
The amounts listed are the base pay range; additional compensation may be available for this role, such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities.
Check out our benefits page for more information about our Benefits and Rewards.
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