Technical Product Owner/Business Analyst
Horizontal Talent

Job Info

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*completed 4 year degree (no exceptions)
*background check required

Responsibilities:

• Lead analytics use cases to drive global data bricks platform adoption (this includes defining scope, gathering requirements, driving business case development, identifying impacted technology/teams, driving high level design sessions and developing business requirements document (including functional spec (if needed)).
• Closely collaborate with cross functional global and local teams to develop data driven business use cases and execute on the strategy leading to the adoption of global data bricks platform and architecture.
• Leverage data platform (such as data bricks) and Business Intelligence (BI) reporting tools like power BI and advance analytics methods to present clear current state and business value proposition, supporting evidence & recommend solution/approach.
• Lead discovery, requirements and business case development for expanding MDM (Master Data Management) solution for patients data.
• Translate large amount of data (and related correlation(s)) to derive meaningful insights targeted towards improving customer experience across several business units (include marketing, ecommerce, commercial, manufacturing, quality, R&D, customer care, etc..)
• Partner with various regional and global leads to identify unmet needs, gaps in data and reporting automation and translate into requirements for new/enhanced data product capabilities (this includes new reports, data automation, advance analytics, etc..)
• Strong communication skills (verbal and written) - must be able to communicate at a business and technical level with internal teams, customers, partners and executive teams.
• Influence: Represents organization as a primary contact for specific projects and initiatives; communicates with internal and external customers and vendors at various levels. May negotiate with others to reach understanding or agreement, and influence decision-making. .
• Experience working with cross functional teams using agile processes (tools used are Jira and confluence)
• Experience with SQL and modeling in excel for exploratory data analysis

Must Have: Minimum Requirements

• Bachelors degree (Computer engineering/computer science or related field) required minimum of 7 years of relevant experience, OR
• Advanced degree with a minimum of 5 years relevant experience
• Experience & working knowledge of Databricks data platform and related services
• Experience with MDM solution implementation and requirements gathering
• Experience with Big pharma, health care or life sciences preferred.
• Experience with Agile methodology and processes.

Nice to Have :

• Hands on experience with Business Intelligence and Data Analytics tools and techniques (such as exploratory data analysis, predictive, prescriptive analysis, etc...)
• MBA/Advanced degree in Science/Technology/Business Management/Information Systems
• Experience in digital health platforms
• Certification in Product Management
• Familiarity with Salesforce & SAP is a plus
• Expertise working in both traditional Waterfall and Agile projects
• Strong structured problem-solving skills managing complex and ambiguous data sets
• Expertise in process mapping, value stream mapping, customer journey development
• Expertise in process management tools such as Miro, Visio, Workfront, etc.
• Strong collaboration skills working with various stakeholders across multiple organizations
• Familiarity with best practices of data management and governance.

Horizontal facilitates valuable and productive conversations between you and potential employers. We can assist you in growing your career by partnering you with employers that offer challenging assignments. For those that join the team, we offer competitive compensation and benefits including medical, dental, vision, and retirement. Check out all we have to offer and how you can become part of the Horizontal Talent Team. The pay range for this role is $59 - $64 per hour. This is not a guarantee of compensation, as final offer amount may vary based on factors including but not limited to experience and geographic location.

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