Find Senior Data Analyst Job in Dallas, Texas | Snaprecruit

Find Senior Data Job in Dallas, Texas
image
  • Snapboard
  • Activity
  • Reports
  • Campaign
Welcome ,

Senior Data Analyst

  • ... Match Group
  • ... Dallas, Texas, United States
  • ...

    Full-time

  • ... Salary: Not Available
  • Posted on: May 19, 2024       Expires on: Jul 03, 2024

Senior Data Analyst   

JOB TITLE:

Senior Data Analyst

JOB TYPE:

Full-time

JOB LOCATION:

Dallas Texas United States

REMOTE:

Yes

JOB DESCRIPTION:

The growing Match Group Central Platforms team is looking for an analyst to work cross-functionally with the Match Group organization, and our portfolio of brands, to help identify, understand, and improve business, operations, and product challenges. Reporting to the Director of Product, the Senior Data Analyst will deliver high-quality strategic and tactical analysis; collaborating with the product, engineering, data science, business intelligence, member experience and operations teams. Know where you belong. Match Group is a leading provider of dating products across the globe. Our portfolio includes Tinder, Match, Hinge, Plenty of Fish, The League, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesnt stop at our products - its the foundation of every team we hire. We are flexible and offer full remote or hybrid working models as options to accommodate our team. Match Group is headquartered in Dallas, TX, with offices in LA, Palo Alto, and New York. In this role you will: Own defining, tracking, and monitoring business KPIs for the Central Platforms Product team. Partner with product managers to create hypotheses, define quantitative goals, and design experiments for roadmap projects Partner with engineering to improve data collection through data infrastructure design, data pipelining, and warehousing solutions Collaborate with cross-functional teams, including business stakeholders, developers, and data engineers, to identify data requirements, gather feedback, design and implement solutions. Conduct exploratory data analysis to discover patterns and insights to inform future strategy. Gather, compile, and extract meaningful insights from complex datasets, using statistical techniques and machine learning algorithms when applicable. Summarize and evangelize your findings across the company; providing Executives, Product Managers, Engineering teams, and other Data Analysts with deep-dive quantitative analyses in an immediately usable format, extracting key insights from extensive, complex data sets Proactively find opportunities to take analytics framework into the next level and lead stakeholders to adopt new frameworks and methodologies Take ownership of ambiguous and complex analytical assignments We could be a Match if you have: 5+ years of progressive experience using quantitative analysis to make business-focused recommendations 3+ years of analytics experience working directly with product managers or embedded within a product team Experience with data warehousing, data pipelining solutions a plus Familiarity with machine learning concepts and algorithms Proven technical data analytics skills in working with large amounts of data at different levels of aggregation, from raw telemetry to metric stores. Working knowledge of trust and safety analytics metrics (fraud signals, bad actor patterns, etc.) Strong understanding of incrementally as well as sizing business problems and opportunities Understanding of basic statistical concepts such as confidence interval, normal distribution, correlation, linear regression, and multivariate testing Strong communication skills at different levels of organizational hierarchy Proactive skill set that encompasses problem identification, analysis, solution definition, results, and communication Proficiency with SQL, R and Python (or equivalent) In depth experience with data visualization and analytical tools (Amazon QuickSight, Mode Analytics, Power BI, Looker) #LI-CENTRAL #LI-REMOTE #LI-CH1

View Full Description

Position Details

POSTED:

May 19, 2024

EMPLOYMENT:

Full-time

SNAPRECRUIT ID:

SD-05202024-86601618

LOCATION:

Texas United States

CITY:

Dallas

Job Origin:

APPCAST_CPC

Jobcon Logo
A job sourcing event
In Dallas Fort Worth
Aug 19, 2017 9am-6pm
All job seekers welcome!

Similar Jobs

Senior Data Analyst    Apply

Click on the below icons to share this job to Linkedin, Twitter!

The growing Match Group Central Platforms team is looking for an analyst to work cross-functionally with the Match Group organization, and our portfolio of brands, to help identify, understand, and improve business, operations, and product challenges. Reporting to the Director of Product, the Senior Data Analyst will deliver high-quality strategic and tactical analysis; collaborating with the product, engineering, data science, business intelligence, member experience and operations teams. Know where you belong. Match Group is a leading provider of dating products across the globe. Our portfolio includes Tinder, Match, Hinge, Plenty of Fish, The League, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesnt stop at our products - its the foundation of every team we hire. We are flexible and offer full remote or hybrid working models as options to accommodate our team. Match Group is headquartered in Dallas, TX, with offices in LA, Palo Alto, and New York. In this role you will: Own defining, tracking, and monitoring business KPIs for the Central Platforms Product team. Partner with product managers to create hypotheses, define quantitative goals, and design experiments for roadmap projects Partner with engineering to improve data collection through data infrastructure design, data pipelining, and warehousing solutions Collaborate with cross-functional teams, including business stakeholders, developers, and data engineers, to identify data requirements, gather feedback, design and implement solutions. Conduct exploratory data analysis to discover patterns and insights to inform future strategy. Gather, compile, and extract meaningful insights from complex datasets, using statistical techniques and machine learning algorithms when applicable. Summarize and evangelize your findings across the company; providing Executives, Product Managers, Engineering teams, and other Data Analysts with deep-dive quantitative analyses in an immediately usable format, extracting key insights from extensive, complex data sets Proactively find opportunities to take analytics framework into the next level and lead stakeholders to adopt new frameworks and methodologies Take ownership of ambiguous and complex analytical assignments We could be a Match if you have: 5+ years of progressive experience using quantitative analysis to make business-focused recommendations 3+ years of analytics experience working directly with product managers or embedded within a product team Experience with data warehousing, data pipelining solutions a plus Familiarity with machine learning concepts and algorithms Proven technical data analytics skills in working with large amounts of data at different levels of aggregation, from raw telemetry to metric stores. Working knowledge of trust and safety analytics metrics (fraud signals, bad actor patterns, etc.) Strong understanding of incrementally as well as sizing business problems and opportunities Understanding of basic statistical concepts such as confidence interval, normal distribution, correlation, linear regression, and multivariate testing Strong communication skills at different levels of organizational hierarchy Proactive skill set that encompasses problem identification, analysis, solution definition, results, and communication Proficiency with SQL, R and Python (or equivalent) In depth experience with data visualization and analytical tools (Amazon QuickSight, Mode Analytics, Power BI, Looker) #LI-CENTRAL #LI-REMOTE #LI-CH1

Loading
Please wait..!!