Now hiring
Data Analyst
Now hiring

Data Analyst

Position Description

Toptal prides itself on being a data-driven organization. The primary objective of the Data Analyst is to drive business impact and better decision making by laying the data foundation for a world-class analytics function. This role will be critical to fostering trust in our data and confidence in our decisions.

Our Data Analysts focus on creating a data environment that is conducive to analytics. This will require data governance (quality, accuracy, coverage, security), data modeling (structure, relationships, integrity), technical communication (data dictionaries, user training), quality control (code reviews, data validation), and raw data analysis. You will be the product owner for our data warehouse–while you won’t directly own ETL processes, you will provide SQL logic, priorities, and requirements to our Data Engineering team.

This role sits within the new Business Analytics Center of Excellence and will ensure trustworthy data is available for all downstream data users (business analysts, data scientists, and report developers). Positive relationships with both data engineers and business analysts will be key, but you must also think independently and not just take orders. To be successful in this role you must live and breathe SQL daily and be a critical thinker, problem-solver, and self-starter.

This is a remote position and can be done from anywhere. All communication and resumes must be submitted in English.

Responsibilities:

  • Translate business definitions into SQL logic that can be embedded in our data warehouse and used for reporting and analytics
  • Proactively extract insights from raw data analysis and identify opportunities to improve data operations, accuracy, coverage, integrity, structure, and general usability
  • Map business processes to their corresponding data flows
  • Create a data strategy and policies to govern data inputs, outputs, processing, access, security, and usage
  • Document all data elements, metrics, dimensions, sources, limitations, logic, usage, and definitions in comprehensive data dictionaries
  • Provide requirements, prioritize, and manage the backlog with Data Engineering
  • Work closely with business analysts, data scientists, report developers, and business process owners to empower data-driven decision making
  • Train end users on data usage, complexities, nuances, and limitation

In the first week you will:

  • Onboard and integrate into Toptal
  • Rapidly begin learning about Toptal’s history, culture, and vision
  • Shadow key teams across the company to learn the core of Toptal’s operations and capabilities, including Growth, Talent Operations, Enterprise, and SMB

In the first month you will:

  • Understand the data generated through company operations and activities and where/how that data is stored
  • Understand our ETL processes, timing, tools, monitoring, roadmap, and pain points
  • Understand our source systems, and where they fit into our business processes

In the first three months you will:

  • Develop a mastery of data elements
  • Begin standardizing definitions and creating SQL logic to push definitions into the data layer
  • Begin certifying metrics and dimensions, checking for quality and accuracy
  • Begin documenting data flows, definitions, calculation methodologies, and data elements in comprehensive data dictionaries

In the first six months you will:

  • Start to transition users away from old metrics and definitions
  • Helped achieved alignment and standardization of metric definitions across the company

In the first year you will:

  • Play a critical part in setting up the new Business Analytics Center of Excellence for success
  • Be seen as an expert on all things data
  • Have established a centralized, certified, official data repository as a single source of truth

Requirements:

  • 3+ years of experience in data science, data analysis, analytics, business intelligence, or reporting
  • Experience in doing exploratory/raw data analysis, data modeling, and data governance (quality, accuracy, coverage, security, etc.)
  • Experience translating business logic and objectives into SQL code and linking data and analytics to business strategy and operations to drive real impact
  • Detail-oriented, methodical, and thorough
  • Strong professional skepticism, including the ability to challenge assumptions
  • Extremely proficient in SQL; experience with R, Python, or MATLAB a plus
  • Experience with BI tools (Tableau, Qlik, PowerBI, etc.)
  • Strong technical background in math, science, engineering, or statistics
  • Working knowledge of business processes and statistics
  • Team player that builds strong relationships and establishes trust with business leaders, engineers, and business analytics colleagues
  • Exceptional written and verbal communication skills, including the ability to explain complex issues in a simple and intuitive way
  • Work collaboratively and independently; take ownership of quality, accuracy, and timeliness of deliverables
  • You must be a world-class individual contributor to thrive at Toptal. You will not be here just to tell other people what to do.
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Working at Toptal

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