INDUSTRY STATS
According to the U.S. Bureau of Labor Statistics, Analytics Manager positions are at a 10% growth rate, which is as fast as average. With that said, there are currently 316,800 jobs in the market right now. The total number of jobs is expected to increase by 31,800 to 348,600 in the period of 2020-30.
What’s more, the median annual wage for the Analytics Manager jobs was $141,490 in May 2020. The lowest 10% earned less than $74,620, and the highest 10% more than $208,000.
Our conclusion? The Analytics Manager job market is wide open for candidates.
Top Analytics Manager sections that make the best resume
- Header
- Professional summary
- Experience (with numbers and results)
- Relevant skills
- Education
- Certifications
How to write a Analytics Manager resume experience section
Analytics Manager Resume’s Job Experience Checklist:
- Use 4-6 bullet points per job title;
- Don’t go further than a decade behind when describing your job history, unless you’re applying for an executive position;
- Combine job responsibilities as well as achievements with numbers in results when you describe your past work;
- Start each sentence with a power verb and avoid overused buzzwords;
- Use either C-A-R or S-T-A-R methodology, when describing your experience.
The work experience samples below come from real Analytics Manager resumes that got people hired at top companies. You can use them as an inspiration to build your own resume:
- Identifying the needs of business and developing plan and dashboards to determine overall direction of business.
- Addressing Business problems and identifying and planning short term and long term goals.
- Working closely with product, Sales to increase market share.Utilize customer information to find patterns and opportunities.
- Providing time to time business update to concerned teams.
- Preparing Dashboards to give insights and progress of Business.
- Transforming our ID&F business from software and data centric to one that has Analytics at the core of everything we do.
- Managing a team of two Data Scientist and two Data Engineers from the Research and Development department.
- Apart from managing Advanced Analytics Fraud projects (scope setting, time estimations, budget constraints), I am also involved at the proposition stage of the deals and the interim/final presentations for the clients, serving as an Analytics Consultant.
- Main stakeholders are often the regional senior executives, several managerial tiers above my own.
- Handling visibility data analytics for FMCG Brands in India
- Working on standardization of analytics outcomes and reports
- working on creating global database of barcodes
- Managed and grew an analytics team for the client over a period of 3 years
- Grew firm revenues by $0.5M
- Managed and led analytics engagements for 30+ existing clients
- Lead team of 4 Direct reports and 8 Indirect Reports working closely with cross-functional teams to implement high-quality, data-driven decisions resulting in 15% annual growth in firm-wide profit of $200+ millions.
- Apply statistics and data modeling to provide actionable insights from overseeing a $2,500 millions investment portfolio and $280+ millions procurement budgeting.
- Identify 10% potential business growth resulting from the predictive analytics and maintain 95%+ customer satisfaction firm-wide from 5+ millions customers.
- Develop and manage complex Business intelligence solutions using SQL to deliver key business performances and strategic plannings to C-Suites Executives on monthly basis.
- Ensure data accuracy and ETL from important connectors to the Cloud Data warehouse for the timeliness and accuracy of BI solutions and quarterly predictive analytics.
- Fraud & Internal Audit Analytics - forensics, prevention and control
- Project manager for P2P Audit Analytics implementation
- P2P Analytics SME
- Project manager for P2P Audit Analytics - forensics, fraud prevention
- Project manager for SQL Server implementation - finance analytics
- Digital finance transformation - OCR, unstructured data, RPA
- Master data, data wrangling, data modelling, data analytics SME
- P2P digital transformation support (Coupa, Supplier Onboard Tool)
- Planning and execution of department’s data analytics strategy.
- Co - Partnering for annual risk assessment activities for technology,digital, Cloud, and developing annual audit plan.
- Lead the completion of the technology and digital audit plan, leveraging data analytic capabilities.
- Partnered on Global Loyalty program implementation
- Leading Global Mobile App Risk Management
- Leading process & Data Integratation for "analytic part of output"
- Partnered with Global Data Governance and Data Quality work stream.
- Integrate Data with process, so analytics is part of output
- Development, execution scalable analytics
- Improved digital assets' discovery (85% faster)
- Increased application of advanced data science for controls
- Created the Business Analytics Team from scratch.
- Hired Business Analysts with Role specific Skills.
- Hired Interns and trained them to get promoted in Associate Business Analyst Role.
- Arranged Meetings with Executives to identify Business Gaps and formulate solutions.
- Created complete Reporting Structure to meet the business needs.
- Conducted Training and created Videos for understanding the Reports and Processes.
- Travel to HQ for discussion with Senior Management for suggesting the Analytics Approach to design the Business Analytics Team.
- Lead BI and Analytics in EMEA for the Walt Disney Company as part of the Digital Products and Platform team
- Looking after 130+ websites (disney.xx, shopdisney.xx, disney tickets etc..) and the Disney Channel apps
- Reponsible for analytics implementation, data warehousing strategy, ETL, summarisation and data visualisation
- Managing various data integration projects in and out of the EMEA digital data platform, prioritising work for datamarts roadmap and various data feeds
- Planning ETLs and data processes around the database usage across multiple time zones
- Product owner for the EMEA digital data platform
- Setting up analysts and data scientists with all the tools they need to analyse the data
- Tableau and powerBI reporting
- Developing data self service by automation and education
- Offline and online media market trend reports.
- Statistical analysis for media budget optimization
- Development of dashboards for business decision-making
- Social media listening for main brands and market trends
- Achieved over 30% improvement in delivery of major BI initiatives by simplifying KPIs, report consolidation and business alignment.
- Steered the implementation of Engaged Acres metric in enterprise data lake, which led to over 72% cost reduction and 40% faster performance by migrating the Big Data processing to Databricks.
- Lead globally distributed team of over 10 data engineers, wranglers & data scientists in three different continents.
- Created a common framework & platform for Precision Ag CI metrics and automated the reports improving overall delivery and decision-making.
- Led cross-functional teams and delivered data-intensive (30 TB/day) FMIS solutions hosted in AWS for agronomic decision support.
- Undertaken an expatriate assignment to build an analytics team from the ground up and scaled-up global delivery model.
- Collaborate with executives in formulating key performance indicators and metrics to measure success in Precision Ag Business.
- Analyzed trends, outliers, and develop appropriate strategies in compliance with FINRA and SEC regulatory standards.
- Designed and managed a client tracking portfolio developed using internal suite of technologies to identify capital market anomalies and help optimize the portfolio returns by 20%.
- Provided accurate and timely financial data and insights categorized into equities, options and bonds etc to ensure best execution and prevent insider trading for over 1 million clients.
- Developed dynamic visualizations in Fidelity Brokerage and Compliance using Tableau which made the decision making process for senior management team relatively easier.
- Lead the Data and Content team at Sharespost Inc. We develop and design complex data pipelines for internal marketing, research and operations teams.
- Collaborate with Business units leads to develop strategies, roadmaps, automation frameworks, data models, and metrics.
- Managing the data team through the design process, requirements gathering and backlog refinement, architect data platform design and own the implementation.
- Developed reporting infrastructure and created data visualization portfolio via Tableau and internal BI tools for better decision making.
- Analyzed trends, outliers, and develop appropriate strategies in compliance with FINRA and SEC regulatory standards.
- Designed and managed a client tracking portfolio developed using an internal suite of technologies to identify capital market anomalies and help optimize the portfolio returns by x%.
- Provided accurate and timely financial data and insights categorized into equities, options and bonds etc to ensure best execution and prevent insider trading for over 1 million clients.
- Developed dynamic visualizations in Fidelity Brokerage and Compliance using Tableau which made the decision making process for senior management team relatively easier.
- Achieved over 30% improvement in delivery of major BI initiatives by simplifying KPIs, report consolidation and business alignment..
- Steered the implementation of Engaged Acres metric in enterprise data lake, which led to over 72% cost reduction and 40% faster performance by migrating the Big Data processing to Databricks.
- Lead globally distributed team of over 10 data engineers, wranglers & data scientists in three different continents.
- Created a common framework & platform for Precision Ag CI metrics and automated the reports improving overall delivery and decision-making.
- Led cross-functional teams and delivered data-intensive (30 TB/day) FMIS application (with aggressive SLA) hosted in AWS for agronomic decision support.
- Undertaken an expatriate assignment to build an analytics team from the ground up and scaled-up global delivery model.
- Collaborate with executives in formulating key performance indicators and metrics to measure success in Precision Ag Business.
- Lead team of exploratory audit analysts responsible for annual financial goal of $84M in client savings
- Conducted monthly training for business analysts that included analytic and operational processes
- Conducted monthly training for exploratory audit analysts that included analysis of different overpayment types and extraction of data for concepts
- 30% Business Analysts promoted out
- Devised automation technology that retrospectively reviewed 79 million claims in 2020
- Created savings growth project among matrix partners to combine various skill sets and new client data sources
- Presented monthly leadership reporting of business key performance indicators
- Deployed and consulted on inventory management report for Operations teams
- Constructed workflow management tools and associated tableau reporting
- Build Product Analytics practice as a part of the Marketing and Product team at Blue Shield of California by putting in place the appropriate tools and technology, people, and processes.
- Ensured data quality and integrity of Product Analytics database by validating data with Finance teams, CoHC Analytics teams, and other subject matter experts.
- Led a team of 3 data analysts to develop a self service data solution for members of Marketing and Product teams.
- Worked with Small Business Account Management, Sales, and Installation & Billing teams to develop a member network disruption analysis, which helped SBM Account Management convert members to Trio Products and reach retention targets.
- Conducted comprehensive competitive insights analysis for each Line of Business and conveyed competitive intelligence to Senio
- Informally managed Product Analytics team by mentoring analysts in technical and business aspects of reporting and analytics.
- Led the development of standardized and automated Tableau dashboards to help Strategists, Product Managers, and Senior Leadership understand Product Performance, Sales Trends, Regional Membership, Network Coverage, and Member Demographics.
- Conducted the first comprehensive custom benefits analysis to identify portfolio plan gaps to reduce customization in SAS by building programs and a SAS Project.
- Built several SAS Projects and programs to provide automation for Product Analytics database.
- Led efforts involving cross-functional teams to conduct data and analytics to understand areas of investment, key opportunities, and network strategy for 2019 and 2020.
- Responsible for identifying appropriate data sources for analytics team, and for ensuring that all reporting and analytics are done with the best available data.
- Led an effort to conduct comprehensive & strategic Network Gaps and Opportunities analysis in collaboration with Provider contracting, Network Management, Legal Teams, and Senior Leadership aimed at improving multiple Blue Shield Provider Networks.
- Worked with Product & Marketing leadership to drive data analytics effort as part of a marketing campaign to help improve utilization of tele-health and home-visit services.
- Effectively presented results of analyses to stakeholders, Senior Leadership, and C-Level Executives to drive business decisions.
- Collaborated with IT Data Management teams as the Commercial Products Data Steward for the Product Book of Record to resolve data quality issues in the product domain of the central data warehouses.
- Managed digital marketing team for a consumer-focused retail/ecommerce business. Including web analytics, SEO, SEM, social, email nurture, website optimization, e-commerce, and A/B testing using multiple platform analytics tools.
- Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
- Proactively analyze business levers to guide revenue growth and profitability across all online sales channels and digital marketing efforts.
- Lead the conceptualization, design, launch and reporting of website A/B and multivariate testing.
PRO TIP
Don't make the same mistake everyone else does. What we mean is, don't list your Analytics Manager job responsibilities instead of your achievements. Recruiters know what you do. They want to know what kind of difference you can bring to their company. Focus on what you've accomplished.
Action Verbs for your Analytics Manager Resume
Recommended reads:
Analytics Manager Resume Skills’ Tips & Tricks to Impress Recruiters
Resume Skills Section Checklist:
- Ensure your hard skills section (including technologies) are exactly matching the job description.
- Don’t simply list your soft skills. Apply the “show, don’t tell” principle - let your job achievements speak for themselves.
- Find a way to showcase your skills beyond the skills section.
- Your resume’s skill section is important to ATS systems - so don’t skip it.
Top Skills for your Analytics Manager resume
- Google Analytics
- Wordpress
- SEO
- HTML
- Social Media
- Communication
- Creative problem solving
- Analytical thinking
- Influencing
- Team work
PRO TIP
Avoid getting sidetracked by Applicant tracking software by including a tech skills' section matching the job description and your own qualifications.
Recommended reads:
Analytics Manager Resume Header: Tips, Red Flags, and Best Practices
CHECKLIST For Your Analytics Manager Resume Header
- Your name and surname in a legible and larger resume font
- The job title you’re applying for or your current job title as a subheading to your name
- Link to your portfolio or online profile, such as LinkedIn
- Address (City and State for the US; just your city for rest of the world)
- Email address
- Headshot (required or welcomed in the EU; not required and sometimes frowned upon in the US)
Stick to popular email providers such as Gmail or Outlook. And use these professional formats to create your username:
- first.last@gmail.com
- last.first@gmail.com
- firstlast@gmail.com
- f.last@gmail.com
- first.l@gmail.com
Recommended reads:
PRO TIP
Some companies, states, and countries have policies about identifying information like photos on your Analytics Manager resume. Be sure to check all the relevant rules before submitting yours. If you’re in doubt, you can always try contacting the company’s HR department to ask for their policy.
Analytics Manager Resume Summary Best Practices
Checklist: What to include in your Analytics Manager resume summary:
- Years of experience;
- Highlight top 3 skills and proficiencies;
- One big professional accomplishment you’re most proud of, that you can tie with the aforementioned skills;
- Use short, direct sentences - but no more than three - to keep the HRs interested.
Resume Summary Formula:
PRO TIP
You’re not going to get hired simply because of a good summary or objective. However, your recruiter can bump you up in front of similarly experienced candidates who didn’t demonstrate such passion and drive.
Recommended reads:
Listing Your Education, Certifications and Courses
Resume Education Section Checklist:
- Ensure your hard skills section (including technologies) are exactly matching the job description.
- Don’t simply list your soft skills. Apply the “show, don’t tell” principle - let your job achievements speak for themselves.
- Find a way to showcase your skills beyond the skills section.
- Your resume’s skill section is important to ATS systems - so don’t skip it.
Top Certifications for your Analytics Manager resume
Recommended reads:
PRO TIP
If you hold a certain major and a minor, your majors should be mentioned first.
Analytics Manager Resume: Additional Writing & Formatting Tips
There are three basic resume formats you can choose from:
- Reverse-chronological resume format;
- Functional resume format;
- Hybrid (or Combination) resume format;
The most optimal format for your particular case will depend on your years of experience, as well as whether you’re switching industries or not.
Reverse chronological resumes are best suited for experienced individuals who are sticking to their industry. The experience section takes a central place, and its bullets contain your responsibilities and achievements, coupled with numbers and results.
Functional resumes are used by less experienced jobseekers or career changers. Note that it’s not a format that recruiters prefer, as most are used to the classic chronological alignment. Instead of a list of job titles, functional resumes focus on your skills, and through what experiences you gained them.
Hybrid resumes are great for both experienced and entry-level candidates, as well as career changers. They combine the best of both worlds - most often in a double column format, where one side of the content is focused on your experience, whereas the other - on your skills, strengths, and proudest moments.
Analytics Manager Resume Summary best practices
Here are more resume tips regarding your layout and style:
- Clear and legible 12p resume font size;
- Use 10’’ resume margins - that’s default for a great resume design;
- Use a one-page template resume length if you’ve got less than 10 years of experience; otherwise, opt for a two-page resume;
- Save your resume as PDF before sending it to the recruiter.
To take it a step further, check out how your resume can stand out without leaning too much on the creative side.
Recommended reads:
PRO TIP
Sometimes you’ll want to go after a job which requires more experience than you have. Instead of using a typical Analytics Manager resume layout, you can use a creative layout. Getting noticed is the most important challenge and a creative resume layout might help you get invited for an interview as most of other accountants have boring resume designs.
Other sections to include in your resume
Depending on the type of company (corporation or start-up; innovative or traditional), job seniority level and your location, you may want to include more sections to your Analytics Manager resume:
Analytics Manager Resume: How to Make Yours More Creative & Stand Out
When you send your resume to a potential employer, chances are it's the fiftieth one they've seen that day. That's why you need to make your Analytics Manager resume stand out for the right reasons. That means showing your personality, not just your professional experience. Employers are far more likely to remember a candidate who seems like a genuine person and not a robot. Do this by including your passions (which is also a great place to demonstrate skills on a resume), share your favorite books, or even what your usual day looks like.
What Makes a Great Analytics Manager Resume: Key Takeaways
- Choose a resume layout that sends the right message across and fits your current career situation;
- Create a resume header that shows your desired job title, and easy to find contact numbers;
- Be specific about your experience, accomplishments and future goals in your summary;
- Feature detailed metrics and specific examples that show the impact you made in your previous roles when describing your experience;
- List soft skills backed by examples;
- Add all of your technical skills and certifications that you have and match the job description;
- Show off a dash of personality in your resume that will demonstrate your culture fit and the right mix of hard and soft skills.