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Product Owner - Business & Data Analyst

Salary undisclosed

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Position: Product Owner - Business & Data Analyst Experience: 10+ Years Work Type: Full-time Locations: Reston,VA (ONSITE)

PETADATA is seeking an experienced Product Owner with Business & Data Analyst skills to join our team.

Roles and Responsibilities:
  • Collaborate with stakeholders to gather business requirements and define product vision

  • Develop and maintain product roadmaps, prioritizing features and creating business cases

  • Work closely with cross-functional teams, including engineering, design, and data science

  • Analyze market trends, customer feedback, and data insights to inform product decisions

  • Define and track key performance indicators (KPIs) to measure product success

  • Develop and maintain business cases, including ROI analysis and cost-benefit analysis

  • Identify and mitigate risks, and develop contingency plans

  • Communicate product plans and progress to stakeholders, including executives, customers, and team members

  • Write and optimize SQL queries to extract insights from large datasets

  • Collaborate with data engineers to design and implement data pipelines and architectures

Required Skills:
  • 10+ years of experience in product management, business analysis, or data analysis

  • Proven track record of delivering successful products and features

  • Strong business acumen, with experience in market analysis, competitive analysis, and financial analysis

  • Excellent analytical and problem-solving skills, with experience in data analysis and interpretation

  • Strong communication and interpersonal skills, with experience in stakeholder management

  • Experience with Agile development methodologies and version control systems (e.g., Jira, Asana, Git)

  • Strong understanding of data visualization tools and techniques (e.g., Tableau, Power BI)

  • Proficiency in writing and optimizing SQL queries, with experience in database management systems (e.g., MySQL, PostgreSQL)

  • Experience with data modeling and data warehousing concepts

Nice to Have:
  • Experience with data science tools and techniques (e.g., Python, R, machine learning)

  • Knowledge of cloud-based technologies (e.g., AWS, Azure, Google Cloud)

  • Experience with product management tools (e.g., Productboard, Roadmunk)

What We Offer:
  • A professional work environment with opportunities for growth and development

  • Competitive salary and benefits package

  • Collaborative and dynamic team culture

Education Qualification:
  • Bachelor's degree or foreign equivalent in Business Administration, Computer Science, or a related field

  • MBA or Master's degree in a related field preferred

We offer a professional work environment and are given every opportunity to grow in the Information technology world.

Note:

Candidates required to attend Phone/Video Call / In-person interviews and after Selection of candidate (He/She) should go through all background checks on Education and Experience.

Please email your resume to:

After carefully reviewing your experience and skills one of our HR team members will contact you on the next steps.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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