Now hiring
Data Analyst
Now hiring

Data Analyst

About Toptal

Toptal is a global network of top talent in business, design, and technology that enables companies to scale their teams, on-demand. With $200+ million in annual revenue and over 40% year-over-year growth, Toptal is the largest fully distributed workforce in the world.

We take the best elements of virtual teams and combine them with a support structure that encourages innovation, social interaction, and fun (see this video from The Huffington Post). We see no borders, move at a fast pace, and are never afraid to break the mold.

Position Description

Are you looking to play a meaningful role in how an organization uses data to make confident, trustworthy decisions? Toptal prides itself on being data-centric, and we are looking for a Data Analyst to drive business impact and better decision making by laying the data foundation for an elite analytics function!

Our Data Analysts focus on building a data environment that is conducive to analytics. Crafting such an environment will require data governance, data modeling, technical communication, quality control, and in-depth 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 our new Business Analytics Center of Excellence and will ensure reliable data is available for all downstream data users (business analysts, data scientists, and report developers). Positive relationships with both data engineers and business analysts are critical, and ability to 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 that can be done from anywhere. Due to the remote nature of this role, we are unable to provide visa sponsorship. Resumes and communication 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 data analysis and find opportunities to improve data operations, accuracy, coverage, integrity, structure, and general usability
  • Map business processes to their corresponding data flows
  • Build 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 colleagues to empower decision making that is fueled by data
  • Train end users on data usage, complexities, nuances, and limitation

In the first week expect to:

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

In the first month expect to:

  • 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 challenges
  • Understand our source systems, and where they fit into our business processes

In the first three months expect to:

  • Develop a proficiency of data elements
  • Begin standardizing definitions and building 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 detailed data dictionaries

In the first six months expect tol:

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

In the first year expect to:

  • Play a critical part in setting up our new Center of Excellence for success
  • Be seen as an authority 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 obsessed, systematic, and thorough
  • Strong professional skepticism; you will need to challenge assumptions
  • Very proficient in SQL; experience with R, Python, or MATLAB a plus
  • Experience with BI tools (Tableau, Qlik, PowerBI, etc.)
  • Solid technical background in math, science, engineering, or statistics
  • Working knowledge of business processes and statistics
  • Extraordinary teammate that builds positive relationships and establishes trust with business leaders, engineers, and business analytics colleagues
  • Outstanding written and verbal communication skills, and the ability to explain complex issues in a simple and intuitive way
  • Work independently and across functions; take ownership of quality, accuracy, and timeliness of your work
  • You must be a world-class individual contributor to thrive at Toptal. You will not be here to tell other people what to do.
For Toptal Use Only: #canada #remote

Who Will You Work With

Brenda Kurz

Chief Administrative Officer

As Toptal’s Chief Administrative Officer, Brenda works alongside the CEO and executive team to maximize the impact of CEO engagement and team initiatives. She is an experienced Chief of Staff and Director of Business Management, holding senior-level roles for nine years at Microsoft and Schwab Bank. Prior to that, she worked at US Bank and also served as the CEO of an innovative start-up credit union serving an underbanked demographic in the Seattle area. Brenda has a BS in Accounting from Portland State University and is a graduate of the Pacific Coast Graduate School of Banking.

Travis Anderson

Director of Business Analytics

As Toptal's Director of Business Analytics, Travis leads a team that enables data-driven decision making by connecting business strategy with data activities (i.e., data analysis, reporting, diagnostic analytics, and data science). Business Analytics supports all functional areas of the business, including sales, marketing, finance, product, operations, and HR. Travis brings over a decade of experience building and leading analytics and engineering teams to drive significant business growth, including at Vivint Smart Home, Symantec, Brigham Young University, and at his own startup, Mapline. He holds BS and MS degrees in Mechanical Engineering and an MBA from Brigham Young University.

View The Whole Team

Working at Toptal

We're changing the way the world works. Toptal is not only a place to progress your career and design your own lifestyle, but also a company where you'll learn how to develop innovations that push business and technology forward.
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Think you’re a fit? Apply below:

Our team reviews every application. We will reach out to set up an interview if we feel you are a great fit.
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Working at Toptal has been the best experience of my career. Every day I'm surrounded by intelligent, thoughtful, and hard-working colleagues that push me to be better.

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