Insights Analyst (Publishing Analytics & Data Engineering)

AgreeYa Solutions, Inc.
Los Angeles, CA, United States
7 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Airflow Data Analysis Information Engineering Data Visualization Digital Assets Video Game Development Python (Programming Language) SQL Databases Tableau (Software) Information Technology Discord Data Pipelines
+1 more
Databricks

Job description

As an Insights Analyst, you will focus on data analysis, reporting, and data engineering work for the Publishing team. You will help build Publishing’s data foundations and enable better support for decision makers across brand marketing, performance marketing, channel optimization, and player acquisition strategies.

You will be responsible for building high-quality dashboards and data pipelines, auditing third-party data, servicing stakeholder data requests, improving sustainability for recurring reporting, developing self-service tools, and creating knowledge documentation., * Maintain and support recurring reporting for global and regional publishing performance.

  • Conduct data audits and build data tables and pipelines that form the backbone of mobile publishing capabilities.
  • Run performance and trend analyses on product marketing efforts, user acquisition campaigns, paid media, and related initiatives.
  • Build Tableau dashboards and other self-service tools that capture core metrics and answer business questions.
  • Identify and implement sustainability improvements for recurring reporting and analysis.
  • Perform data pulls and execute ad hoc analyses for stakeholder requests.
  • Create and maintain documentation to support reporting processes, data assets, and self-service capabilities. *

Requirements

  • Bachelor’s degree in Data Science, Computer Science, Business Analytics, Statistics, Marketing, Economics, or a related quantitative field.
  • 3+ years of professional experience analyzing large datasets, creating data visualizations, and building data pipelines.
  • Advanced proficiency in SQL or Python.
  • Advanced proficiency in Tableau or other data visualization tools. *

Desired Qualifications

  • Experience working in game development or publishing.
  • Experience in mobile marketing domains, including performance marketing, product marketing, customer relationship management (CRM), or related areas.
  • Experience working with third-party publishing data and tools, including user acquisition channels, mobile measurement partners, social listening platforms, app stores, YouTube, Discord, and social media platforms.
  • Proficiency with Databricks and Airflow.

About the company

AgreeYa is a global systems integrator delivering competitive advantage for its customers through software, solutions, and services. Established in 1999, AgreeYa is headquartered in Folsom, California, with a global footprint and a team of more than 2,200 staff across offices. AgreeYa works with 500+ organizations ranging from Fortune 100 firms to small and large businesses across industries such as Telecom, Banking, Financial Services & Insurance, Healthcare, Utility & Energy, Technology, Public sector, Pharma & Biotech, and others. Please visit us at for more information.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · WWC Europe 2026

4:29 min

Shifting data analytics from monetization to player experience design

Johanna Pirker Johanna Pirker · WWC 2021

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · WWC Europe 2026

1:36 min

Engaging organically within niche developer chat and community spaces

Rudi Bauer +2 · Cappuccino with HR

2:50 min

Executing LoRA fine-tuning using serverless Databricks AI runtimes

Viktoria Semaan Viktoria Semaan · WWC Europe 2026

2:43 min

Leveraging digital communities and curated technical content

Christian Heilmann Christian Heilmann +2 · Cappuccino with HR

Videos

See all

Related articles

See all