Mezmo, formerly LogDNA, is an observability platform to manage and take action on your data.

It ingests, processes, and routes log data to fuel enterprise-level application development and delivery, security, and compliance use cases.

We are in the foundational steps of building an Internal Data and Analytics practice, which will be focused on managing the data infrastructure to enable all of our business units to answer key questions and make strategic decisions. If you want to investigate data across the entire company to answer critical business questions, we want to meet you.

You will establish key metrics for many stakeholders within the company, including Product, Marketing, Sales, and Customer Success, and identify opportunities for data to guide critical strategic product and business decisions. Additionally, you will be an integral partner in overseeing and scaling our data infrastructure, which is not just used by the data team, but the larger organization as well.

As a Sr. Data Analyst, you will be joining Mezmo’s Product team to create the foundation for the data organization. You will help to build the next generation of our data infrastructure and enable the company to answer key questions and make better choices.

Responsibilities:

• Work closely with cross-functional teams across all of Mezmo to develop a strategy around our data platform and to establish best practices for a metrics-focused culture.
• Build dashboards / reports and empower the business to answer key questions across Sales, Marketing, Customer Success, Recruiting, Product, and Engineering.
• Prioritize between multiple planned analytics projects and ad-hoc data requests for our internal stakeholders.
• Define and design data pipelines and data integrations to collect, clean, and store large scale, cross-functional datasets.
• Manage the data infrastructure that enables the entire business

Qualifications:

• BS or MS degree in a quantitative field such as Mathematics, Computer Science, Physics, etc
• 5+ years experience on data science or data analytics teams, especially on data teams focused on internal operations
• Experience with querying and exploring data stored in data warehouses (Snowflake, MongoDB)
• Experience with operationalizing data with ETL/ELT tools like Fivetran or Stitch
• Experience with data transformation microservices like dbt, Informatica, Denodo, etc...
• Demonstrable fluency with SQL and experience with Python or R
• Experience with data visualization tools such as Sisense, Looker, Tableau, or similar tools