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Product Data Analyst

Bletchley Institute LLC

Fort Wayne (IN)

Remote

USD 90,000 - 145,000

Full time

30+ days ago

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Job summary

Join a forward-thinking company as a Product Data Analyst, where you'll leverage your data analysis skills to influence product development and drive user engagement. In this dynamic role, you'll gather insights from diverse data sources, collaborate with cross-functional teams, and advocate for data-driven decision-making. This innovative firm values creativity and problem-solving, offering a supportive environment for professional growth. If you're passionate about using data to shape product strategies and enhance user experiences, this opportunity is perfect for you.

Benefits

Equity
Flexible work hours
Remote work option
Professional development opportunities

Qualifications

  • 2-5+ years in product analytics or data analysis, preferably in a product-focused environment.
  • Strong analytical and communication skills to convey insights to stakeholders.

Responsibilities

  • Gather and analyze data from various sources to drive product improvements.
  • Collaborate with Product Managers to track key metrics and provide insights.

Skills

Data Analysis
Statistical Techniques
Data Visualization
A/B Testing
Collaboration
Problem-Solving

Education

Bachelor's Degree in a related field

Tools

Metabase
Amplitude
Secoda
Tableau
Power BI

Job description

We’re a simple-to-use photo documentation and productivity app for contractors of all commercial and home services industries. Packed with intuitive functionality, CompanyCam facilitates unparalleled communication and accountability across a contractor’s entire business. We’re committed to providing a consumer-grade, game-changing experience that helps our users build trust within their company and with their customers.

But don’t let that corporate description fool you—the people behind our buttoned-up product are laid-back (but hardworking), genuine, and kickass, and you could be one of them!

The Role

CompanyCam is looking for multiple Product Data Analysts to join our Data Analytics team! As a Product Data Analyst, you will ensure data is at the core of our decision-making. You’ll lead processes around collecting, analyzing, and interpreting data related to our products, along with ensuring the implementation of the Continuous Discovery Habits philosophy by holding teams accountable to key metrics, assumption testing, and experimentation. Your insights will directly influence product development strategies, feature prioritization, and product roadmap. Collaborating closely with Product Managers, you will translate complex data into actionable insights that drive informed decision-making and facilitate continuous improvement. If you enjoy leveraging tools (such as dbt, Metabase, Amplitude, and Seconda, to name a few) to uncover insights that drive product improvements, user engagement, and user retention, keep reading!

Location: Candidates must permanently and currently reside in the United States. Employees are not required to work in the office or relocate to Lincoln, Nebraska, for this opportunity. Employees are encouraged to come hang at headquarters for up to 10 days per calendar year on CompanyCam’s dime.

What You’ll Do
  • Gather data from various sources, including user interactions, market trends, and product usage metrics.
  • Utilize statistical techniques and data visualization tools to analyze and interpret large datasets.
  • Identify patterns, trends, and correlations to extract meaningful insights relevant to product performance and user behavior.
  • Analyze experiments to optimize user experience and drive key outcomes.
  • Assess the effectiveness of existing product features and functionalities through rigorous analysis.
  • Monitor key performance indicators (KPIs) and provide regular reports to stakeholders, highlighting success areas and improvement opportunities.
  • Partner with Product Managers to track and analyze key product metrics, develop objectives and KPIs, and ensure assumptions are tested and validated.
  • Work cross-functionally with Engineering, Design, and Product to align on data needs and improve decision-making processes.
  • Provide data-driven recommendations to support product roadmap decisions, feature prioritization, and resource allocation.
  • Foster a data-driven culture by creating dashboards and training teams on Metabase, Amplitude, and Secoda.
  • Act as a strategic partner to product managers, offering insights and data-driven guidance throughout the product lifecycle.
  • Design robust testing frameworks, evaluate experiment results, and iterate on key hypotheses.
  • Develop scalable product analytics frameworks to standardize data-driven decision-making.
  • Improve access to data through Metabase, Amplitude, and Secoda, ensuring teams can independently explore product insights.
  • Advocate for best practices for both Product Managers and internal data teams, focusing on data-driven decision-making and experimentation, and data governance and standardization for the respective team.
What You’ll Bring
  • 2-5+ years of experience in product analytics or data analysis, preferably in a product-focused environment (not all years of experience are created equal, so this one isn't set in stone).
  • 2-3 years of experience with data visualization tools such as Metabase, Tableau, Power BI, or Looker and product analytics tools like Amplitude or Mixpanel.
  • Experience in A/B testing, cohort analysis, and funnel optimization, along with hypothesis-driven research and experiment design.
  • Strong analytical skills to translate complex data into actionable insights.
  • Excellent communication and collaboration skills, with the ability to effectively convey technical concepts to non-technical stakeholders.
  • Experience and comfort working in a fast-paced, iterative product development environment.
  • Strong leadership skills with the ability to influence product teams and executives by regularly presenting insights and strategic recommendations to senior leadership to influence product roadmaps.
  • Detail-oriented with a passion for problem-solving and continuous improvement.
  • Proficiency in storytelling with data and translating insights into strategy.
  • Experience designing and implementing analytics frameworks for scalable decision-making.
  • Passion for fostering a culture of experimentation and data-driven learning.
  • Comfortable working in a high-autonomy, high-accountability environment.
  • A continuous growth-mindset, with a focus on learning, embracing challenges, and continuously improving.
  • A knack for creativity and innovation, bringing fresh ideas to the table and solving complex problems.
  • Prior experience working in SaaS or fast-growing tech environments is preferred.
  • Reside permanently and currently in the United States. Sorry, we're not hiring outside the U.S. now even if you're willing to work during U.S. time zones.
Benefits & Compensation

This is a salaried position at CompanyCam. Our salary range for Product Data Analysts at CompanyCam ranges from $90,000 - $145,000/year (mid-level analysts range from $90,000-$105,000/year, and senior-level analysts range from $130,000-$145,000/year) and is based on experience. We also offer meaningful equity and other benefits.

We pride ourselves on celebrating everyone. CompanyCam is an equal-opportunity employer actively working on creating an inclusive work environment where everyone can thrive. Are you reading this and wondering if you meet every requirement? Studies show that workplace minorities, such as women and people of color, are less likely than other applicants to apply for a job when they don’t meet every single requirement. Even if your experience doesn’t perfectly align, we encourage you to apply. We’re interested in hiring passionate, hard-working people—not checking boxes.

For any accommodations or adjustments to complete the online application or to participate in the interview process, please email jobs@companycam.com and we’ll respond to your email promptly. Do not include any medical or health information in your email.

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