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Job Location: Washington County, OR
Join a high-performing, tight-knit team at a fast-growing company that is using the Internet of Things (IoT) to transform how organizations sense, monitor, and make decisions. Founded out of MIT in 2005, SmartSense is trusted by more than 2,000 organizations, including Walmart, SpaceX, Apple, CVS Health, Coca-Cola, and the US State Department to help them make sensor-driven decisions. We have a solution that our customers rely on every day to make mission critical decisions. We are looking for team-oriented change agents to help shape the future of IoT.
Members of the Data team are passionate about data products, engineering data flows, storage, and enabling predictive analytics. We are inspired by data products and data services and in building and delivering tools, infrastructure, frameworks that enable insights of our business increasing the value of our data to our customers. As good stewards of our data we contribute to all aspects related to the handling of data, whether from monitoring data flows, our field sensors, PII, or reflecting internal processes such as our supply chain.
In this Data Analyst role, you will be involved in cleaning, analyzing, interpreting, and displaying data using different approaches and business intelligence tools to assist the enterprise in delivering reports and dashboards that allow effective monitoring of the environments being sensed and of the sensors and networks we have deployed in an IoT context. The challenges are as diverse as the potential solutions, and you will have freedom to explore approaches to meeting the challenges coupled with responsibility for delivering effective products. You will become a go-to team member for people inside and outside the Data Services team looking to access and interpret the various data feeds our sensors and systems produce.
We are interested in someone with the technical skills to access and manipulate data combined with a curiosity to understand the data and how to interpret it, capped with the ability to communicate and enhance contextual data models for communication and education of data products across the enterprise. As a foundational member of a rapidly growing team, you will have the opportunity to perform across a range of analytic roles and be constantly challenged to extend your skills and the solutions the Data Services team is able to provide.
Core Technologies
Python and/or R, SQL, Postgres, Git, AWS
Core Qualifications
BA degree in a technical/quantitative field, experience analyzing time series data, strong coding skills, familiarity with data access, ability to work independently and as part of a larger team, and a proven ability to solve problems and learn quickly. Candidates should have strong technical depth in at least one Data Science area (Big Data infrastructure, Software Implementation of ETL/Algorithms, Machine Learning, Data Visualization) and bring an eagerness to learn other areas. Background in statistics and mathematics.
Within 1 month, you’ll
- Learn about the various sensors and environments critical to our customers’ success
- Learn the scripts and tools that currently transform raw data into internal and customer reports
- Build relationships with the awesome team members across other functional groups
Within 3 months, you’ll
- Facilitate the enhancement of visualizations of analytics products after working closely with internal and external consumers to understand how they use our products
- Uncovering key insights that lead to better informed and successful decision-making
- Become a go-to contributor for internal and external requests for new and extended applications of reporting functions
- Become an internal expert on the interpretation of key data, whether collected from sensors or from instrumentation of our hardware and software infrastructure
- Contribute to the definition of new metrics
Within 6 months, you’ll
- Transform raw data into meaningful statistics, information, and explanations
- Take ownership over defining, implementing, and delivering metrics, aggregations, and statistics fulfilling our predictive analytic use cases
- Model and classify outputs to interpret the state of monitored systems and environments for our customers
- Perform integrated planning with other business functions to improve our infrastructure, operational performance, and analytics products
- Demonstrated key collaborator supporting Data Science objectives
Within 12 months, you’ll
- Evaluate new technologies and build proof-of-concept systems to enhance the analytic team’s abilities and products
- Extend your skill set across the range of Data Science areas by contributing across a wide range of projects
- Train, mentor, and influence your peers
- Contribute to developing our brand as a world-class Analytics team able to consistently deliver products that exceed expectations
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