In 2024, Snap One became part of ADI to expand our smart technology portfolio and broaden our distribution capabilities. Snap One is a leading smart-living products, services, and software provider and distributes a portfolio led by proprietary products, including the innovative Control4 technology platform. Snap One is highly complementary to ADI, and together, the combined business will offer access to a broader portfolio, enhanced distribution network and footprint with more locations, and combined digital and e-commerce capabilities for an improved omnichannel shopping experience.

The Product Data Science team seeks a Sr Advanced Data Analyst to leverage extensive data, and aid ADI engineers in developing reliable, appealing platforms. The team acquires and assesses real-time platform data safely to support ADI's design and development, utilizing software tools to orchestrate data analyses. The Product Data Science team uses data and data analytics to build new features and abilities into platform products, facilitated by automated data engineering tools that enable complex analysis of real-time tests and fleet devices. 

In this role, you will work as a key member of a fast-growing team, being involved in building our Business Intelligence platform. An essential task of this role is to lead data-driven decision-making business processes. On a given day, you may find yourself cleaning and embedding datasets, prototyping, managing data drift, and planning world-class solutions to novel and varied problems. Additionally, you will deliver analyses and presentations that will drive product design and improve customer lives.

 

JOB DUTIES:

Maintain and extend the Business Intelligence Platform that will support delivering relevant and insightful analyses creating a deep understanding of our business, market, products, and customers Define and standardize key metrics to evaluate the health of the business teams & programs Discover & drive program initiatives through data-driven recommendations and partner with product teams to implement them Manage data models to bring order and insight to complex data sets Perform analysis & research plans to support the decision-making process Answer complex questions on fleet usage and behavior to enable proactive monitoring, grow reliability, and minimize field failure Communicate findings from data analyses to stakeholders, influencing them to make the best decisions possible Communicate complex technical and statistical relationships in discussion and through efficient visualizations  Adapt, learn, grow, and teach to deliver world-class products and platforms Bring a curious mind to current business problems and opportunities, expanding your understanding of all products in the SnapOne ecosystem

 

YOU MUST HAVE:

Proficiency with Python, SQL, and Git Minimum 5 years' work experience in data analysis, statistics, or related field Proficiency with an established BI tool (e.g. PowerBI, Tableau, etc.) Demonstrable experience making highly informational, easily interpreted visualizations Experience applying frequentist or Bayesian statistics to test hypotheses and judge confidence level Exemplify effective communication

 

WE VALUE:

Bachelor's Degree  Proficiency in Databricks Proficiency in PowerBI Work experience in IoT or other cloud-enabled technology  Portfolio of highly informational, easily interpreted visualizations  Experience in technical writing  Familiarity with AWS 

 

WHAT'S IN FOR YOU:

Health package  Insurance in case of serious illness, surgical intervention, professional illness, and insurance from the consequences of an accident Flexible working hours  English classes during working hours Employee referral bonus program Corporate social events and team buildings Food and drinks: Free use of coffee machines, free fruit and snacks Well-equipped office

 

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