Business Data Analyst Digital Marketing

Posted 2 Days Ago
Carlsbad, CA
75K-90K Annually
Junior
Sports
The Role
The Digital Marketing Data Analyst will develop insights across Digital Marketing and PESO teams. Responsibilities include creating digital data reporting frameworks, analyzing customer data, building channel attribution models, measuring campaign impacts, and providing optimization recommendations.
Summary Generated by Built In

Are you passionate about using data, finding insights, and trying to explain why things are what they are? If so, read on.

As part of the advanced analytics team, the Digital Marketing Data Analyst will be a key player on an innovative team that develops and provides actionable insights across the organization. This role is focused on helping our Digital Marketing and PESO (Paid, Earned, Shared, Owned) teams overcome challenges such as channel optimization, customer experience and campaign performance. The successful individual will conduct multiple tasks and projects simultaneously, maintain strong relationships with stakeholders, and own deliverables end to end.

Essential Functions and Key Responsibilities:

  • In conjunction with relevant global teams, create and standardize a global digital data reporting framework and KPIs.
  • Illustrate key trends and drivers through effective data interpretation and visualization.
  • Perform complex data analyses using a mix of external and internal customer data (customer traffic, purchase history, browsing history).
  • Create and improve upon existing performance and prediction methodologies.
  • Develop and build easy to understand channel attribution models, using advanced analytics methodologies to enable the impact of different strategic scenarios.
  • Interpret and validate model results and KPI’s to track model performance and business impact.
  • Measure the short and long-term impacts of campaigns on customer behavior.
  • Identification of gaps and opportunities for model improvements along with identification and validation of new data sources.
  • Run optimization scenarios to help provide marketing investment and allocation recommendations; provide insights on cost to acquire, value of digital engagement, and cross-channel impact of media.
  • Enable a service focused team approach and support via individual and team KPI goals.
  • Perform other related duties and assignments as required.

Knowledge and Skills Requirements:

  • Strong communications skills: both verbal and written, with the ability to explain complex concepts to non-technical audiences.
  • Experience of working within a marketing analytics/business intelligence function, marketing agency experience preferred.
  • Experience in analytics/data science and data visualization tools (e.g. R, SQL, Python, DOMO, Tableau, Excel, PowerPoint, Looker, BigQuery).
  • High level of experience working with Google Analytics.
  • Working knowledge of different data analysis techniques such as ANOVA, Multiple Regression, Principal Component Analyses, Decision Trees, Segmentation, Clustering, etc.
  • Ability to apply analytical techniques and translate findings into actionable business insights and recommendations.
  • High level of experience in measuring and analyzing online marketing campaigns including: organic and paid search, email, affiliate, display and social media.
  • Experience in working with website optimization tools for A/B and multivariate testing, e.g. Google Website Optimizer, Visual Website Optimizer, Optimizely, Maxymiser, Quantum Metric, etc.
  • Proven ability to perform in-depth analysis, synthesize results, develop stories, build strategies and make recommendations to business and technical leaders
  • Meticulous attention to detail and proactive nature.
  • Proficiency in Microsoft Office (Word and PowerPoint) with advanced skills in Excel data management
  • Ability to work across teams and manage priorities to accomplish multiple tasks is required.
  • Interpersonal skills suited to dealing courteously and professionally with cross-functional teams
  • Passionate about the golf industry

Education, Work Experience, and Professional Certifications:

  • B.S. in a quantitative or technical field, such as data science, mathematics, statistics, or business.
  • 2+ years of experience of data analytics
  • Any hands-on attribution modelling experience, preferable.

Work Environment / Physical Requirements:

  • Normal office conditions.
  • Ability to work extended hours as necessary.
  • Occasional travel required.
  • Able to work efficiently and accurately in an atmosphere of frequent interruption.
  • Light physical effort equal to frequent lifting or moving of lightweight materials.

TaylorMade is a performance driven organization and our total rewards approach to compensation is designed to support this. We consider many factors in determining base compensation, including position scope, job related knowledge, education, skills, experience, and work location. The expected annual base pay range for this position is $75,000 - $90,000. Additional benefits, such as health & wellness, performance bonuses, product discounts, holidays, paid time off, etc. may also be offered in accordance with our plans.

#LI-Onsite

#LI-AP1

TaylorMade Golf Company is an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, religious creed, color, national origin or ancestry, physical or mental disability, medical condition, genetic information, marital status, sex, pregnancy, gender, gender identity, gender expression, age, sexual orientation, military and veteran status or any other basis protected by federal, state or local law, ordinance, or regulation. 

Top Skills

Python
R
SQL
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The Company
HQ: Carlsbad, CA
1,587 Employees
On-site Workplace
Year Founded: 1979

What We Do

Overview:
Headquartered in Carlsbad, California, TaylorMade Golf is a leading manufacturer of high performance golf equipment, golf balls and accessories. TaylorMade has a history of innovative industry-leading products such as the newly launched Stealth family headlined by the 60-layer Carbon Twist Face Stealth Carbonwood Driver. TaylorMade's technological advancements touch all sectors of the golf industry with products like P Series irons, Milled Grind 3 wedges, TP5/TP5X golf balls and Spider putters. A major force across the world's professional tours, TaylorMade has an unrivaled athlete portfolio that includes Tiger Woods, Dustin Johnson, Rory McIlroy, Collin Morikawa, Tommy Fleetwood, Rickie Fowler, Matthew Wolff, Harry Higgs, SH Park, Charley Hull, Maria Fassi and Sierra Brooks.

History:
In the spring of 1979 a golf equipment salesman named Gary Adams took out a $24,000 loan on his home and founded the TaylorMade Golf Company. He rented a 6,000 square-foot building that at one time housed a television assembly plant. Counting him, there were three employees and a single, innovative product: a 12-degree driver cast of stainless steel. This new metalwood looked and sounded different from a wooden wood, and most important, it performed differently. The clubhead's perimeter-weighting offered greater forgiveness on mis-hits, while the lower center of gravity made it easier to launch the ball in the air. Adams, the son of a golf professional, was adamant that TaylorMade clubs maintain ties to what true golfers perceived an authentic golf club should look and feel like. They were committed to combining innovation with authenticity, to always be passionate about the game, and pledged to be competitive - to work hard to establish itself and grow. These four tenets would take them far.

Since the creation of the first metalwood in 1979, the TaylorMade Golf Company has established a legacy of breaking from tradition to reach new thresholds of performance.

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