Senior Digital Marketing Analyst

Hi, we’re TechnologyAdvice.

At TechnologyAdvice, we pride ourselves on helping B2B tech buyers manage the complexity and risk of the buying process. We are a trusted source of information for tech buyers, delivering advice and facilitating connections between our buyers and the world’s leading sellers of business technology.

Headquartered in Nashville, Tennessee, we are a remote-first company with more than 20 digital publications and over 500 global team members in the US, UK, Singapore, Australia, and the Philippines. We’re proud to have been repeatedly recognized as one of America’s fastest growing private companies by Inc., as well as a Tennessee top workplace. We work hard each day and have fun, too, with monthly virtual events, recreational slack channels, and the occasional costumed dance from our CEO.

All positions are open to remote work unless otherwise specified in the requirements below.

The opportunity

As a Senior Data Analyst, Digital Marketing, your job responsibilities will include management of dashboards for the SEO & paid media teams, analysis of data to determine actionable business insights, and coordination of digital marketing reports. You’ll help optimize our digital marketing efforts, use data to help increase our web conversion rates, and measure the effectiveness of our web presence.

You’ll be the go-to for digital marketing data questions, new analytical views, and digital channel and product insights. Success in this role requires a focus on data accuracy, a positive attitude, and a dedication to learning new skills and tools.

What you'll do

• Collect, extract, and integrate data from various digital marketing sources such as websites, social media platforms, email campaigns, and advertising campaigns.
• Work with APIs and data connectors to ensure a smooth flow of data into analytical systems.
• Connect and draw insights across multiple data sets to create a comprehensive picture
• Clean, preprocess, and transform raw data to ensure accuracy and consistency.
• Handle missing data and outliers effectively to maintain data integrity.
• Perform exploratory data analysis to uncover trends, patterns, and insights that can drive marketing strategies.
• Utilize statistical techniques to identify correlations and relationships within the data.
• Build predictive models to forecast trends, customer behavior, and future campaign performance.
• Analyze the effectiveness of digital marketing campaigns, including click-through rates, conversion rates, and ROI.
• Provide actionable recommendations to optimize campaign performance.
• Segment audiences based on demographics, behavior, and preferences to tailor marketing strategies.
• Analyze customer journey data to identify touchpoints for improvement and engagement.
• Support and measure A/B testing to evaluate the impact of different marketing strategies and variations.
• Interpret test results and provide recommendations for optimization.
• Create dashboards and reports to communicate insights to stakeholders using visualization tools like Tableau or Looker/Google Data Studio.
• Present data-driven insights to marketing teams and management.

Who you are

• Bachelor's or Master's degree in a relevant field such as Data Science, Statistics, Computer Science, Marketing Analytics, or a related discipline.
• Clear written and verbal communicator.
• 3-5 years experience with digital marketing platforms and concepts, including Google Analytics (both Universal Analytics and Google Analytics 4), Google Tag Manager, Facebook Ads Manager, Google Search Console, SEO, SEM, and social media analytics.
• 2+ years experience using BigQuery and SQL for data querying and manipulation. Experience with Google Analytics exports in BigQuery will make you stand out!
• Experience with data visualization tools like Tableau, Looker/Google Data Studio, Power BI, or similar platforms.
• Strong analytical thinking and problem-solving skills to interpret complex data and provide actionable insights.
• Knowledge of statistical techniques and methodologies for data analysis.
• Ability to work collaboratively in cross-functional teams and communicate findings effectively to both technical and non-technical stakeholders.
• Working knowledge of machine learning and predictive modeling is a plus.
• Working knowledge using DOM in JavaScript is a plus.
• Attention to detail and a passion for staying updated with industry trends and emerging technologies in both data analytics and digital marketing.
• Agile professional who excels in a fast-paced environment and thrives on continuously pivoting strategies to drive business needs forward.

What we offer you

Our benefits and programs are designed to make your life better for you and your family..

• Flexible schedule with remote, hybrid and on-site options
• Comprehensive medical, dental and vision insurance
• 401K with company matching
• Flexible paid time off
• Paid maternity and paternity leave
• Pet insurance for your furry family members and co-workers
• Wellness perks that include the Headspace App and monthly fitness reimbursements
• Ongoing career development opportunities, mentorship program, bucket list benefit, and more
• In-office snacks, beverages, catered meals, and even some ping pong

Work authorization

Employer work visa sponsorship and support are not provided for this role. Applicants must be currently authorized to work in the United States at hire in an employer approved US state and must maintain authorization to work in the United States throughout their employment with our company.

EOE statement

We believe that our differences make us stronger, and thus foster a diverse and inclusive culture where people feel safe being themselves. TechnologyAdvice is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected under federal, state or local law.

Pre-employment screening required.

TechnologyAdvice does not engage with external staffing agencies. Any candidates introduced by such firms will not be eligible for compensation.

Any AI-generated or incomplete application answers will be auto-rejected.