Data Analyst - Williston, United States - Power Factors

Description

ABOUT POWER FACTORS

Power Factors develops software that accelerates the global energy transition by empowering all renewable energy stakeholders to collaborate, automate critical workflows, and make the best decisions.

Power Factors fights climate change with code.

Power Factors has incorporated its four flagship solutions Drive, Greenbyte, Unity and BluePoint to build an integrated suite of open and smart apps.

These apps are purpose built for asset management, field service optimization, and performance optimization.

Leveraging the domain expertise and machine learning-based advanced analytics within these apps, customers can maximize the value of their renewable assets to stay competitive.

Power Factors' renewable energy software platform is one of the most extensive and widely deployed solutions in the market with over 200 GW of wind, solar, hydro, and energy storage assets managed worldwide.

ABOUT THE ROLE

Power Factors is seeking a Data Analyst in the Customer Success department to complete our CS Operations (CS Ops) team.

As a member of CS Ops and reporting to the Director, Customer Success Operations, you will be part of a close-knit global group that equips our Customer Success team with the data and tools they need to scale and to deliver value efficiently and effectively to our customers.

This role benefits from strong statistical/data analytics and scripting capabilities, blended with curiosity and a drive for continuous improvement.

The data analyst is the expert in all things data for our small team, leading on best practice, data hygiene, and clean data architecture.

WHAT YOU WILL BE DOING

• Ensure that our data, including key performance indicators and health scores, is clean, valid, and statistically significant.
• Engage with the team in processes and best practices, including QA testing.
• Identify, propose, and actively participate in process improvement and other projects as required.

WHAT YOU WILL NEED TO BE SUCCESSFUL

• University degree or the equivalent in data analysis, data science, computer science, or related field
• Minimum of 3 years' experience working with a variety of data types and tools, including timeseries data
• A solid foundation in data analysis languages, such as SQL, Python, Power BI, etc.
• High degree of accountability, execution, and planning to drive ontime deliverables.
• Effective communication skills and the ability to collaborate with a broad range of team members and stakeholders.

We are an agile software development company - big enough to make an impact, but small enough to move quickly and execute in a growing industry, taking advantage of rapidly evolving technologies.

We are a collective of bold and ingenious talents driven by results. Our team is made up of hard-working, fun-loving people who are passionate about making the world a better place. We seek fierce and humble people to help us achieve our ambitious plan.


WHY JOIN US
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A humble cause with a clear purpose - you will help us fight climate change with every day at work. We aim to be environmentally conscious in all aspects of our operations.
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Work with passionate experts and top-talents in your field - we are proud of our highly skilled crowd and the savviness each of us brings to the team.
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Friendly and uplifting atmosphere - we believe kindness and respectfulness is core for our culture. A friendly smile or a helping hand is never far away.
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Flexible hours and workplace - it is the result that counts, not when or where. Our hybrid/remote work setup allows everyone to set themselves up for success and create a more sustainable work-life balance.
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All the benefits you expect (and more) - besides the basic benefits (adopted to local needs and norms), you will enjoy perks such as 8h of paid volunteering per year and participation in our Corporate Bonus Program (to name a few).


WE ARE AN EQUAL OPPORTUNITY EMPLOYER
Power Factors is an Equal Opportunity Employer committed to engaging a diverse workforce and sustaining an inclusive culture.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.