About the role
The Senior Data Analyst will be a key technical contributor within the Data Analytics function of the Customer Support Operations organization. They will demonstrate deep expertise in querying, structuring, and visualizing data to drive operational improvements for Customer Support. The Senior Data Analyst will work closely with cross-functional leaders, operations associates, and delivery teams to translate business, product and technical requirements into concrete quantitative analysis and dashboards, and iterate on the output with stakeholders. This role will be a senior presence on the newly formed Data Analytics function and act as a team lead.
The ideal candidate has a passion for solving highly technical business problems through effective data visualization and manipulation and is eager to pursue a variety of data-related projects in a fast-moving environment.
This job is based in Mexico City or nearby areas (Edo. de México, Toluca, Pachuca, Cuernavaca).
You should apply if:
-
You want to impact the industries that run our world: Every phone call you answer and every email you send can affect whether truck drivers deliver goods on time and without accidents, whether students get dropped off safely from school, or whether power gets restored quickly after a natural disaster.
-
You thrive the most when solving problems: Our constantly expanding technology and the complexities faced by our customers provide an exciting range of challenges for our Customer Success teams. With a growth mindset and a desire to learn, you will strategically partner with our customers to find unique solutions to help keep their operations safe, efficient, and sustainable.
-
You are a natural relationship builder: Whether the relationship is with our customers or with cross-functional teams in Samsara, you are in constant communication and collaboration with key stakeholders to win as a team.
-
You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. This Customer Success team is still shaping its future and you will have plenty of autonomy and opportunities to master your craft in a hyper growth environment.
-
You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by the best and brightest professionals out there.
In this role, you will:
-
Data structures: Leveraging their language of choice (e.g., SQL, Python) to shape, structure, and optimize data sets for analysis
-
Dashboarding: Creating and maintaining complex dashboards and other summary visualizations to support decision-making from operational and leadership teams
-
Actionable analysis: Performing a variety of exploratory analyses that help us understand the health of the Customer Support organization and identify opportunities for improvement and optimization
-
Analytical modeling: Building analytical models to identify patterns, anomalies, and root causes (e.g., analyzing device health to proactively reach out to customers)
-
Cross-functional collaboration: Leading meetings with technical and non-technical leaders to understand data structures, dashboard requirements, and business priorities
- Champion, role model, and embed Samsara’s culture principles (Obsess Over the Customer, Build for the Long Term, Growth Mindset) as we scale globally and across new offices
Minimum requirements for the role:
- BA / MS or equivalent coursework in quantitative discipline (e.g., Statistics, Mathematics, Computer Science, etc.)
- 5+ years experience as a data analyst, data engineer, or related role
- Experience with data manipulation and processing, preferably in SQL
- Experience with data visualization, preferably in Tableau
- Experience building statistical and other analytical models
- Bias-to-action and hands-on experience delivering business results. You’re not afraid to get your hands dirty building a dashboard or diving into data, but can also mentor others to do the same.
An ideal candidate also has:
- Experience with CRM and ticketing tools, specifically Zendesk or Salesforce data
- Experience in a Customer Success or Customer Support organization, with an understanding of relevant KPIs and processes
- Experience with B2B hardware and SaaS products
- Experience partnering with executive leadership to solve business problems