Fleet Data Analyst

Our Mission
SPAN is enabling electrification for all
We are a mission-driven company designing, building, and deploying products that electrify the built environment, reduce carbon emissions, and slow the effects of climate change.

• Decarbonization is the process to reduce or remove greenhouse gas emissions, especially carbon dioxide, from entering our atmosphere.
• Electrification is the process of replacing fossil fuel appliances that run on gas or oil with all-electric upgrades for a cleaner way to power our lives.

At SPAN, we believe in:

• Enabling homes and vehicles powered by clean energy
• Making electrification upgrades possible
• Building more resilient homes with reliable backup
• Designing a flexible and distributed electrical grid

The Role
As our fleet of SPAN Gen 2 and Gen 3 smart panels grows, so does the volume of data and the need for sophisticated analysis. We're seeing an increasing number of requests from our
Software Engineering
,
Hardware Engineering
, and
Customer Support
teams for a clearer, data-driven view of our fleet's overall health and performance.

We are looking for an
IoT Fleet Data Analyst
to fill this critical gap. You will be the go-to expert for fleet data, responsible for transforming raw telemetry from thousands of devices into actionable insights. Your work will directly impact product reliability, inform future hardware and software development, and empower our support teams to solve problems more effectively. You won't just be running queries; you'll be building the foundational analytics and dashboards that give us a vital, non-customer-facing view of our products in the wild.

Responsibilities

• Develop & Maintain Fleet Health Dashboards: Design, build, and maintain comprehensive dashboards and reporting tools using platforms like Grafana or Tableau to monitor key performance indicators (KPIs) for our entire device fleet.
• Perform Deep-Dive Analysis: Investigate anomalies, trends, and patterns in large-scale IoT data to identify root causes of hardware or software issues and predict potential failures.
• Collaborate Cross-Functionally: Partner closely with engineering and support teams to understand their challenges, define data requirements, and deliver analyses that answer critical questions about device behavior and reliability. It is also critical to work with software teams to supply reporting requirements that can help establish higher quality metrics across other platforms and homegrown tooling.
• Build Data Pipelines: Architect and implement scalable and reliable ETL/ELT pipelines to process, clean, and aggregate time-series data from our IoT devices whilst collaborating with business intelligence to standardize on data definitions.
• Translate Data into Action: Communicate complex findings and recommendations clearly and concisely to both technical and non-technical stakeholders, influencing product strategy and engineering roadmaps.
• Ensure Data Integrity: Act as a steward for monitoring of fleet data, ensuring its accuracy, completeness, and accessibility for analysis whilst flagging anomalies, gaps or concerns.

About You
Required Qualifications

• Bachelor's degree in a quantitative field like Computer Science, Engineering, Statistics, or a related discipline.
• 5+ years of experience in a data analyst, data scientist, or data engineer role, with a proven track record of working with large, complex datasets.
• Strong proficiency in SQL and a scripting language like Python (including libraries such as Pandas, NumPy, and Matplotlib).
• Hands-on experience with data visualization tools (e.g., Tableau, Grafana).
• Solid understanding of data warehousing principles and experience working with cloud data platforms (e.g., AWS Redshift, Google BigQuery, Snowflake).
• An innate curiosity and a sharp analytical mind, with the ability to break down ambiguous problems into solvable components.

Bonus Qualifications

• Direct experience analyzing IoT, telemetry, or time-series data.
• Background in the renewable energy, smart home, or connected hardware industries.
• Experience building predictive models or applying statistical analysis to understand hardware reliability.
• Familiarity with data pipeline orchestration tools like Prefect.
• Knowledge of big data technologies such as Spark

Life at SPAN
Our
Bengaluru
team plays a pivotal role in SPAN's continued growth and expansion. Together, we're driving
engineering
,
product development
, and
operational excellence
to shape the future of home energy solutions.

As part of our team in India, you'll have the opportunity to collaborate closely with our teams in the US and across the globe. This international collaboration fosters innovation, learning, and growth, while helping us achieve our bold mission of electrifying homes and advancing clean energy solutions worldwide.

Our in-office culture offers the chance for dynamic interactions and hands-on teamwork, making SPAN a truly collaborative environment where every team member's contribution matters.

Our climate-focused culture is driven by a team of forward-thinkers, engineers, and problem-solvers who push boundaries every day.

• Do mission-driven work: Every role at SPAN directly advances clean energy adoption.
• Bring powerful ideas to life: We encourage diverse ideas and perspectives to drive stronger products.
• Nurture an innovation-first mindset: We encourage big thinking and bold action.
• Deliver exceptional customer value: We value hard work, and the ability to deliver exceptional customer value.

Benefits At SPAN India

Generous paid leave
Comprehensive
Insurance & Health Benefits

Centrally located office in Bengaluru with easy access to public transit, dining, and city amenities
Interested in joining our team? Apply today and we'll be in touch with the next steps