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Mls Analytics Jobs (NOW HIRING)

Brand Networks

Lead Data Analyst

Rochester, NY · On-site

You won't just own MLS reporting and analytics; you'll be the person other teams look to when a measurement, data quality, or reporting-impact question touches MLS, and the one who sets the standards ...

BN, an Augeo company

Lead Data Analyst

Rochester, NY · On-site

You won't just own MLS reporting and analytics; you'll be the person other teams look to when a measurement, data quality, or reporting-impact question touches MLS, and the one who sets the standards ...

BN, an Augeo company

Lead Data Analyst

Rochester, NY · On-site

You won't just own MLS reporting and analytics; you'll be the person other teams look to when a measurement, data quality, or reporting-impact question touches MLS, and the one who sets the standards ...

Sofive

MLS Next Director

Midlothian, VA · On-site

$60 - $80/hr

Provide reporting and performance analysis on player development and competitive standards. Player Pathway and Talent Identification * Identify and support high‑potential players within the MLS ...

UNC Health Appalachian

MLT/MLS

Linville, NC · On-site

$28.96/hr

Analyze bodily fluids, tissues, and other specimens with accuracy and attention to detail. * Accept ... MLS-level staff also perform phlebotomy as part of specimen collection. * Process and handle ...

UNC Health Appalachian

MLT/MLS

Linville, NC · On-site

$28.96/hr

Analyze bodily fluids, tissues, and other specimens with accuracy and attention to detail. * Accept ... MLS-level staff also perform phlebotomy as part of specimen collection. * Process and handle ...

Sofive

MLS Next Director

Midlothian, VA · On-site

... analysis on player development and competitive standards. Player Pathway and Talent Identification • Identify and support high-potential players within the MLS NEXT environment. • Build ...

Sarahbush

MLS / MLT

Vandalia, IL · On-site

$30.56 - $47.37/hr

MLS / MLT Performs a variety of routine and/or complex analysis on clinical specimens in all areas of the laboratory. PRN - as needed - hours vary Pay based on experience starting at: MLS $30.56 MLT ...

RiverView Health

MLS/MLT (PRN)

Crookston, MN · On-site

$26.54 - $37.16/hr

Responsible for pre-analytical, analytical, and post-analytical phases of testing. Follows standard ... Follows standard operating procedures for MLS/MLTs * Ensures laboratory safety, quality and ...

Sarah Bush Lincoln

MLS / MLT

Vandalia, IL · On-site

$30.56 - $47.37/hr

MLS / MLT Performs a variety of routine and/or complex analysis on clinical specimens in all areas of the laboratory. PRN - as needed - hours vary Pay based on experience starting at: MLS $30.56 MLT ...

RiverView Health

MLS/MLT (PRN)

Crookston, MN · On-site

$26.54 - $37.16/hr

Responsible for pre-analytical, analytical, and post-analytical phases of testing. Follows standard ... Follows standard operating procedures for MLS/MLTs * Ensures laboratory safety, quality and ...

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Mls Analytics information

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$3.3K

$6.3K

$9K

How much do mls analytics jobs pay per month?

As of Sep 4, 2026, the average monthly pay for mls analytics in the United States is $6,290.58, according to ZipRecruiter salary data. Most workers in this role earn between $5,708.33 and $6,708.33 per month, depending on experience, location, and employer.

What is MLS Analytics?

MLS Analytics refers to the use of data analysis, statistical techniques, and advanced metrics to evaluate player performance, team strategy, and game outcomes in Major League Soccer (MLS). These analytics help coaches, analysts, and executives make informed decisions regarding player recruitment, in-game tactics, and overall team management. MLS Analytics can include tracking player movements, analyzing passing patterns, and assessing team formations to gain a competitive edge. The field has grown significantly with advancements in technology and the increased availability of detailed match data.

What are the key skills and qualifications needed to thrive as an MLS Analytics professional, and why are they important?

To thrive as an MLS Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a background in data science or a related field. Expertise with analytical tools such as SQL, Python, R, and experience with sports analytics platforms like Opta or StatsBomb are highly valued. Excellent communication, critical thinking, and teamwork help translate complex data insights into actionable strategies for coaches and stakeholders. These skills are essential for making data-driven decisions that enhance team performance and competitive advantage.

What are some common challenges faced by professionals working in MLS Analytics, and how can they be addressed?

Professionals in MLS Analytics often encounter challenges such as integrating data from multiple sources, ensuring data accuracy, and translating complex analytics into actionable insights for coaches and management. Working closely with IT and coaching staff can help streamline data integration, while implementing rigorous validation processes improves data reliability. Regular communication with team stakeholders ensures that analytical findings are presented in a clear and actionable way, ultimately supporting better decision-making on and off the field.

What is the difference between Mls Analytics vs Mls Data Analyst?

AspectMls AnalyticsMls Data Analyst
Required CredentialsBachelor's degree in data science, analytics, or related field; proficiency in analytics toolsBachelor's degree in data analysis, statistics, or related field; knowledge of analytics software
Work EnvironmentReal estate firms, MLS organizations, data-driven teamsReal estate agencies, MLS organizations, data departments
Employer & Industry UsageUsed for strategic insights, market trends, and data reportingUsed for data interpretation, reporting, and supporting decision-making

While both roles involve working with real estate data, Mls Analytics focuses on analyzing large datasets to generate insights and trends, often using advanced analytics tools. Mls Data Analysts typically handle data collection, cleaning, and reporting to support business decisions. The roles overlap but differ mainly in scope and focus, with Mls Analytics emphasizing strategic analysis and Mls Data Analysts concentrating on data management and reporting.

What cities are hiring for Mls Analytics jobs?

Cities with the most Mls Analytics job openings:

What states have the most Mls Analytics jobs?

States with the most job openings for Mls Analytics jobs include:

What job categories do people searching Mls Analytics jobs look for?

The top searched job categories for Mls Analytics jobs are:

Mls Analytics jobs near you
Infographic showing various Mls Analytics job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $75,487 per year, or $36.3 per hour.

Lead Data Analyst

Brand Networks

Rochester, NY • On-site

Full-time

Posted 15 days ago

Job description

Company Overview
Since 2007, BN (an Augeo company since our acquisition in 2023) has been a leader in social media tech innovation and media excellence. BN's mission has been to provide cutting-edge social advertising solutions that allow brands to maximize their brand voice on social media and drive meaningful results to their bottom line with our suite of tools:
  • BN Influencer , which enables brands to transform their employees and fans into influencers to create authentic social content on the brand's behalf, all while abiding by brand safety standards.
  • BN Ads , our in-house media agency that has worked with Fortune 500 clients for over 10 years.
  • BN Innovate , our tech innovation hub, which partners with social platforms and brands including Amex, Meta, TikTok, X, Snapchat, and Pinterest to create technologies that sit on top of their ad buying platforms and solve business objectives with our tech expertise.

BN has offices in Rochester, NYC, Boston, Bentonville, Kansas City, and Hyderabad in addition to Augeo's offices across the country.
Description
As a Lead Data Analyst on the Data Science Team, you'll be the "analytics quarterback" on My Local Social (MLS), our store-level social marketing program spanning Walmart US, Walmart Canada, Sam's Club US, and Sam's Club Mexico. You won't just own MLS reporting and analytics; you'll be the person other teams look to when a measurement, data quality, or reporting-impact question touches MLS, and the one who sets the standards and definitions of success the rest of the program works from. You will also be the primary point of contact for day-to-day external MLS stakeholders. This role reports to the Director of BI (lead of the Data Science team).
The role has two halves. The first is ownership: the recurring client and internal reporting, the data quality standards behind it, and the database and ETL processes that feed all of it, as well as setting the standards other analysts and stakeholders follow when working with MLS data. The second is influence at a program level: establishing what success looks like for new features and pilots, making sure the right behavior is actually being tracked, validating launches, and turning what you find into recommendations the team acts on. We expect the balance to shift toward the second over time as you build trust and the reporting layer becomes more automated.
This position is expected to spend a majority of its time on program-wide measurement, coordination, and escalation rather than hands-on report building. That said, you should be ready to step into direct execution yourself when it's the highest-complexity or highest-risk item on the table.
The right person brings strong SQL and BI depth, real product intuition, and the judgment to notice when a technically correct number is still telling the wrong story. You should be comfortable deciding which questions are worth asking rather than waiting for them to be assigned.
  • Serve as the primary analytics point of contact and escalation path for MLS across all four tenants, coordinating between Client Services, Engineering, and other analysts so that measurement decisions, definitions, and priorities are made once and applied consistently.
  • Own end-to-end delivery of recurring and ad hoc MLS reporting across all four tenants for client and internal stakeholders, ensuring accuracy, timeliness, and consistency across all outputs, while setting the standards and definitions that govern how other contributors report on MLS. Delegate routine report builds to other analysts and personally handle only escalations, complex builds, or client-sensitive items.
  • Set the technical standard for the Power BI reports and Metabase dashboards for MLS, along with the PostgreSQL staging tables, views, and SQL that feed them. Day-to-day build and maintenance should be delegated to other analysts wherever possible; step in directly only for the highest-complexity or highest-risk items.
  • Own data quality checks and validation as the last line of defense before data reaches the client, including frameworks that catch anomalies, missing values, and inconsistencies at the source, and coach other analysts to catch issues earlier in the pipeline rather than reviewing everything yourself.
  • Lead definition of success criteria and measurement plans for new features and pilots, from discovery through launch and into optimization, owning the decision when stakeholders disagree on approach.
  • Represent MLS analytics in cross-functional planning, flagging measurement or data implications early enough that they shape decisions rather than simply react to them.
  • Analyze adoption, engagement, and funnel drop-off to show how the product is actually being used and where it is not working.
  • Validate launches and monitor live features, building the checks and alerts that surface regressions, instrumentation gaps, and anomalous behavior early.
  • Run deep-dive analyses that identify, size, and prioritize opportunities to improve product performance, bringing a clear recommendation rather than only a finding.
  • Design and interpret measurement approaches including A/B tests, pilot versus control comparisons, and pre/post analysis, and be direct with stakeholders about when a result is inconclusive.
  • Partner with Engineering ahead of each release on product and schema changes: assess the reporting impact, write the specs and tickets, and update downstream reports before anything breaks.
  • Document report logic, data sources, refresh schedules, known caveats, and data issue resolution status for all owned reports; contribute to rationalization of the existing report portfolio; and maintain a handover-ready worklog.
  • Identify opportunities to automate or streamline manual reporting, including AI-assisted workflows that monitor performance and surface insight at scale.
  • Communicate findings to both technical and executive audiences, including client-facing conversations such as QBRs; quantify the impact of the work you ship; and challenge assumptions when the data does not support them.

Requirements
  • 4+ years of experience in data and analytics, including time in a product analytics capacity and time owning client-facing reporting.
  • Demonstrated experience coordinating across multiple teams or stakeholders on a shared program or initiative, including resolving conflicting priorities or definitions without formal management authority.
  • Comfortable delegating and directing the day-to-day work of other analysts on shared deliverables, even without formal management authority.
  • Advanced SQL: comfortable with complex queries, CTEs, and window functions, and able to reason about grain and joins and anticipate how a schema change affects downstream reporting.
  • Hands-on experience building, maintaining, and troubleshooting dashboards and reports in Power BI or comparable tools.
  • High attention to detail and a low tolerance for errors in client-facing work.
  • Strong product intuition and a self-directed approach to ambiguity and prioritization, including the ability to spot where analytics should get involved without being asked.
  • Experience with experimentation and measurement, including A/B testing, pilot versus control design, incrementality, or attribution.
  • Solid understanding of data quality principles including validation, anomaly detection, data lineage, and root-cause investigation.
  • Python for data manipulation and automation of analysis and reporting tasks.
  • Experience analyzing user behavior, feature adoption, and conversion funnels, and defining the instrumentation and measurement plans behind them.
  • Strong written and verbal communication in English, including the ability to explain data clearly to non-technical stakeholders, write documentation others can actually use, and turn analysis into a clear point of view.
  • Experience managing multiple recurring reporting deadlines alongside longer-run analytical work.

Nice to Haves:
  • Hands-on experience with Metabase or a comparable SQL-first BI tool.
  • Exposure to AI, including practical experience applying LLMs to analytical or reporting work.
  • Exposure to product analytics tooling such as Amplitude, Mixpanel, Heap, or Pendo.
  • Exposure to large-format retail, social, or digital media data; content moderation or trust and safety reporting; or multi-market reporting.

Why Join BN?
  • Impactful work : be part of a team that shapes the future of creator marketing for some of the world's most respected brands.
  • Innovative environment : work with cutting-edge technology and creative solutions in an environment that fosters risk-taking and innovation.
  • Career growth : BN supports your professional growth and provides opportunities to advance within a rapidly evolving industry.

Ready to join us on this exciting journey? Apply today and become part of a team that's transforming brand engagement through social influence.
Pay Rate:
$90,000-$120,000 base salary
Base salary is determined by several factors including but not limited to education, experience, skills, and geography. These factors are considered when making an offer of employment. If you are interested in this position and salary range, we'd ask that you apply.

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