Careers

Some of the many perks of working at SuperData:

  • Competitive salary and benefits packages
  • Monthly game stipends
  • Full-company winter and summer holidays and generous paid holiday packages
  • Dynamic startup environment
  • Regular happy hours and team events
  • More!

Don’t see a position that matches you? We are always looking for incredible, experienced candidates in many disciplines. Send us your resume and we’ll keep it on file.


DATA ENGINEER

New York, NY

SuperData is the leading provider of data and market intelligence on digital games and interactive media. Our research methodology is driven by behavioral and digital point-of-sale data collected directly from game publishers and developers. SuperData publishes industry relevant key performance indicators for benchmarking, competitive analysis, and performance optimization. We specialize in helping our clients use data to identify actionable growth and investment opportunities.

Innovation Team
The Innovation Team sits at the nexus of the Business Intelligence, Insights, Analytics, and QA teams at SuperData Research and develops new products and efficiencies working with novel, proprietary data sets.
The Data Engineer is an agile data modeling expert. As part of strategic product development and new KPI projects, the data engineer is required to use excellent quantitative and predictive modeling skills, alongside strong database and backend prowess to create dynamic solutions to complex open-ended questions. The data engineer is expected to find answers and develop new solutions, sometimes with a dearth of information.
The ideal candidate will have experience in BI/QA/Analytics via SQL and other database solutions, API/data management skills via Python, and statistical understanding.

RESPONSIBILITIES

  • Prepare & ingest data streams into custom analysis-ready database formats.
  • Interface with team managers to understand the scope of their current problems and plan a technical solution.
  • Create BI/QA/Analytics tools based on new and existing data sets to support live products.
  • Explore new avenues of analysis and optimize existing data processes.
  • Create and automate error-detection & reporting modules based on feedback loops with other teams.

REQUIRED SKILLS

  • Strong understanding of scripting, data structures, loops, algorithms, events, procedures, functions. (Python, JS experience plus)
  • Strong understanding of MySQL: nested queries, joins, temporary tables, stored procedures, and can transform transaction line data into monthly, quarterly, or other grouped summary style formats on the fly.
  • Microsoft Excel (Intermediate to Expert Level, Understanding of file formats. Import/export/manipulate .csv, .txt and other tabular/delimited formats.
  • Working problem solving skills – Algebra, Arithmetic, Statistics
  • Must be very comfortable working with time series data. (Percentage Change, CAGR)
  • Ability QA/QC own work
  • English proficiency required.
  • 1-3 years’ experience.
  • MUST play a broad spectrum of video games across Console, PC & Mobile.

BONUS SKILL(S)

  • Experience with SPSS, R, or another statistical analysis program.
  • Dynamic/Scalable Design (Limit hard coding)
  • Understanding of how games earn revenue a plus. (Virtual economies, exchange rates, how to make a purchase, what are virtual storefronts, etc.)

To apply, please go to the Nielsen career page


SENIOR DATA ENGINEER

New York, NY

SuperData is the leading provider of data and market intelligence on digital games and interactive media. Our research methodology is driven by behavioral and digital point-of-sale data collected directly from game publishers and developers.

SuperData publishes industry relevant key performance indicators for benchmarking, competitive analysis, and performance optimization. We specialize in helping our clients use data to identify actionable growth and investment opportunities

The Innovation Team sits at the nexus of the Data Engineering, Insights, and Analytics teams at SuperData Research– the team specifically pioneers the data research powering new features and products. The Senior Data Engineer is a visionary in data analysis and a pragmatist in research execution. Nothing of value within a data set eludes the Senior Data Engineer. The role leads a small group of Data Scientists & Engineers.

The ideal candidate has a background in Data Science/Engineering and demonstrates mastery of data mining, statistical modeling, machine learning and predictive analytics across structured and unstructured data. Successful candidates are expected to independently design, test, and scaling out successful prototypes into products across direct reports. Strong understanding of the tools that power analytics is a must, particularly infrastructure and computer engineering concepts.

RESPONSIBILITIES

  • Design and execute research projects from start to finish.
    • Design scrapers and ETL processes to bring data into SuperData databases.
    • Pre-process and clean data ahead of analytics.
    • Optimize storage architectures and databases for fast response.
    • Break down large problems into modular pieces to enable parallelization of processing where possible – looping over modules slice aggregating for custom visibility.
    • Automate batch and cron jobs.
    • Initiate feedback loops with QA to inform forward strategy.
  • Manage Innovation Projects
    • Define scope for new Innovation projects.
    • Review open projects weekly and provide feedback/advisory as required to junior team members.
  • Mentorship
    • Keep abreast of developments in the field.
    • Enable team members with specialized learning plans.
  • Communication & Collaboration
    • Presentation of results to stakeholders.
    • Scope out new opportunities with internal teams and external companies.

REQUIRED SKILLS

  • Mastery of Python
    • Data Import/Export & Manipulation – csv, json, data frames
    • Scraping/ETL – Selenium, Beautiful Soup, etc.
    • Analysis Packages
  • Mastery of MySQL
    • Nested Queries, Joins, Temporary Tables, Stored Procedures, Events
  • Mastery of Algorithms & supporting Mathematics
    • Big O Notation
    • Algorithmic Design and Modification
  • Compute Fundamentals
    • Processor Speed
    • Thread Management
  • Memory Fundamentals
    • Database Caching
    • Local Caching
    • Memory Management
  • Storage Fundamentals
    • NAS/Block Store Latency
    • Connection Pools
    • Database Architecture
  • Cloud Compute in AWS EC2
    • Windows Server 2012/2016
    • Amazon Linux 2
  • This best describes you:
    • You have a degree (Undergraduate or Masters) in Finance, Economics, Statistics, Business, Computer Science, or Computer Engineering.
    • You are a strong problem solver – you solve problems of a particular type once, not individual problems. Your solutions are dynamic and scalable.
    • You are always learning newer, faster, and better ways of doing things.
    • You test and tune your own work.
    • You have extreme attention to detail.
    • You know what you know, you know what you don’t know, and you know how to figure out what you need to know.
    • You have 5+ years’ work experience in Data Science/Data Engineering roles or equivalent.
    • You are proficient in English.

BONUS SKILL(S)

  • Familiarity with video games and understanding of how games earn revenue a plus. (Virtual economies, exchange rates, how to make a purchase, what virtual storefronts look like, etc.)
  • Impress us with a ridiculous high-score in your favorite game, your gaming stats, your unbeatable Magic deck, or your gaming rig specs.
  • Show us analytics websites, tools, databases, or dashboards you have developed have collaborated on.

Projected Start Date: Apr 16, 2018

To apply, please go to the Nielsen career page


CLOUD INFRASTRUCTURE ANALYST

New York, NY

SuperData is the leading provider of data and market intelligence on digital games and interactive media. Our research methodology is driven by behavioral and digital point-of-sale data collected directly from game publishers and developers.
SuperData publishes industry relevant key performance indicators for benchmarking, competitive analysis, and performance optimization. We specialize in helping our clients use data to identify actionable growth and investment opportunities.

The Technology Team at SuperData Research manages a full cloud tech stack which supports our live web products, data pipelines, and data management. The Cloud Infrastructure Analyst is an all fronts administrator of all things pertaining to Amazon Web Services – managing VPC, networking, VPNs, servers, security groups, server upgrade/migrations, golden images, cloud storage, user management.

The Ideal Cloud Infrastructure Analyst:
You have recently graduated with a degree in Computer Science, Computer Engineering, IT Administration, Network Administration or have worked in related industry for 1-3 years.
You are a strong problem solver – you solve problems of a particular type once, not individual problems. Your solutions are dynamic and scalable.
You are always learning newer, faster, and better ways of doing things.
You have extreme attention to detail.

RESPONSIBILITIES

  • Management of MySQL/SQL Databases/EC2 Servers (Design, Import, Ad-hoc support queries, Procedures, Events, Speed Tuning)
  • Optimization of database parameters, network location management and cloud connectivity.
  • Server spin up/down, stack installation, server access management, software deployment.
  • Architecture and upgrade use of VPC, networking, security groups, security stack to newest best practice.

REQUIRED SKILLS

  • Amazon Web Services (S3, EC2, RDS) or experience with similar cloud data providers.
  • Intermediate understanding of MySQL: nested queries, joins, temporary tables, stored procedures, and can transform transaction line data into monthly, quarterly, or other grouped summary style formats on the fly.
  • Intermediate understanding of scripting, data structures, loops, algorithms, events, procedures, functions.
  • Test deployment success parameters.
  • Microsoft Excel (Understanding of file formats. Import/export/manipulate .csv, .txt and other tabular/delimited formats from command line)
  • Comfortable working with time series data. (Percentage Change, CAGR)
  • English proficiency required.

BONUS SKILL(S)

  • Familiarity with the video games and understanding of how games earn revenue a plus. (Virtual economies, exchange rates, how to make a purchase, what virtual storefronts look like, etc.)
  • Impress us with a ridiculous high-score in your favorite game, your gaming stats, your unbeatable Magic deck, or your gaming rig specs.

Projected Start Date: Feb 15, 2019
To apply, please go to the Nielsen career page

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