Analytics Manager

Updated: July 29, 2024 - The Analytics Manager position requires expertise in end-to-end User Acceptance Testing and delivering agreed-upon KPIs, along with proficiency in digital analytics tools like Google Analytics and Tableau. The Analytics Manager must demonstrate extensive experience in data manipulation using SQL, coupled with exceptional analytical skills and a results-oriented mindset. Additionally, familiarity with yield processes in the travel industry and proficiency in emerging analytics tools such as R and Python are highly desirable.

Summary of Analytics Manager Knowledge and Qualifications on Resume

1. BS in Data Science with 5 years of Experience

• Experience with agency or brand-side marketing analytics, with an emphasis on media measurement.
• Intellectually curious, analytical, and passionate about data.
• Working knowledge of key platforms and data types in the marketing space, specifically media ad-serving data (e.g. DCM), social platform data (e.g. Facebook/Instagram), and web analytics data (e.g. Google Analytics).
• Excellent verbal and written communication skills to interpret and present business value to clients.
• Fluent in Microsoft Excel for data manipulation and analysis.
• Working knowledge of basic databasing concepts (e.g. granularity, primary keys, foreign keys, joins).
• Experience with at least one BI/visualization tool (e.g. Power BI, Tableau).
• Experience working with third‑party technologies (attribution, foot‑traffic analysis, etc.).
• Experience with a tag management solution (e.g. GTM.
• Experience with a statistical tool (e.g. SAS, SPSS) or relational database management system (e.g. Oracle, MS SQL Server).

2. BS in Statistics with 7 years of Experience

• Marketing experience in a client‑facing analytics/consultant role
• Excellent project management skills and is highly organized
• Understanding of marketing and the various metrics that come with them, with a particular focus in digital metrics
• Experience with paid media, measurement, media planning and media mix modeling a plus strong grasp of paid offerings on major social networks, including ad units, objectives, targeting and campaign best practices
• Experience with digital‑focused tools, including but not limited to: Google Analytics, Demographics Pro, Pathmatics, Brandwatch, Socialinsider
• Experience with PR‑related tools(i.e. Helixa, NewsWhip, Meltwater, TrendKite, MuckRack)
• Expert in data manipulation and visualizations through the use of Tableau
• Experience working with and creating databases and dashboards used to inform business decisions
• Strong problem solving, quantitative and analytical abilities
• Working knowledge of data mining principles: predictive analytics, mapping, collective data from multiple data systems
• Expert knowledge in Microsoft Office applications with specific experience in Excel (i.e. pivot tables, advanced functions, formulas, filtering, etc.)

3. BS in Mathematics with 3 years of Experience

• Experience with business operations, data management and product development
• Experience with employee leadership and leading multiple teams
• Driver and change agent in process workflows and technology transformation
• Strong communication ability in both written and verbal
• Healthcare analytics and business intelligence systems and processes
• Driver of cross‑team collaboration to meet project deadlines and shared business vision
• Knowledge of Data Warehouse design with integration into Business Intelligence systems
• Proven team leadership skills with emphasis on on‑time quality delivery
• Knowledge of statistical modeling tools such as R and IBM SPSS
• Understanding of Service Oriented Architecture, including SOA and SaaS, Web Services, WSDL, SOAP, REST and RPC, JSON, Microservices, and Web Content Management Technologies

4. BS in Computer Science with 6 years of Experience

• Ability to link organization mission, vision, values and key results with team goals and strategies
• Ability to build, lead and mentor strong analytical teams.
• Ability to seamlessly manage work planning, prioritization, and execution in a dynamic environment.
• Excellent problem solving skills with ability to think on scale and apply the right analytical/ statistical solutions.
• Excellent working knowledge and understanding of all key aspects of a typical business - product, marketing, operations and finance.
• Has an executive presence to align and drive team agenda with leadership and broader stakeholders.
• Strong organizational, communication, and story‑boarding skills.
• Strong background in statistical modeling and experience with machine learning/data mining tools such as R, Python, SQL, Spark, SAS, Excel.
• High expertise in implementing machine learning and AI models.
• Good to have: working experience with BI tools (Power BI, Tableau, Qlikview, Data Studio, etc)
• Experience with primary and secondary research methods
• Ability to lead and execute projects from start to completion
• Intellectual curiosity with ability to identify avenues of investigation
• Ability to analyze large datasets, often integrating multiple datasets together

5. BS in Information Systems with 4 years of Experience

• Experience using Google Analytics as a web analyst and/or digital marketer and worked with large clients to define their needs, create their strategy, and deliver goods
• Familiar with enterprise solutions other than Google Analytics [think: Adobe Analytics, attribution software (Rockerbox, VisualIQ), Amplitude, Heap, etc]
• Excited to continue growing experience in Power Query and SQL to problem solve and answer business questions for clients
• Know way around data viz tools, specifically Power BI or Tableau.
• Know how to create compelling visualizations on the front end AND understand how to transform data on the back end
• Take initiative and can self‑direct in the absence of detailed guidelines
• Comfortable managing deadlines for multiple deliverables and thrive in a fast‑paced, open environment
• Experience leading analytically focused teams.
• Extraordinary analytical skills, coupled with the ability to form hypotheses and draw meaningful insights from disparate data sources.
• Ability to understand data, process it, extract value from it, visualize it and communicate insights to audiences of various backgrounds, including senior management.
• Excellent organizational, attention to detail, and time management, analytical and problem‑solving skills
• Excellent communication skills, ability to clearly explain technical terms to a non‑technical audience
• Knowledge of book industry metadata, experience in e‑commerce or supply chain

6. BS in Business Analytics with 6 years of Experience

• Ability to access, manipulate and analyze data and experience with business process optimization
• Comfort in navigating complex organizational structures to connect multi‑functional teams
• Research or analytics experience in a quantitative field with business proficiency
• Experience in a business field with solid technical proficiency
• Nice to have: product, project or program management experience
• Understanding of data sources, research methods and applied statistics, including sampling approaches, causal modeling, time series analysis, and data mining techniques
• Fluency in SQL (Hive, Impala) or similar experience in analyzing large structured and unstructured datasets
• Proficiency with Python and Tableau
• Deep understanding of pre‑and in‑season processes, order management, coverage and inventory management
• Experience with agile development methodologies
• Expertise in statistical package (such as R, MATLAB, SPSS, SAS, Stata, etc.)

7. BS in Economics with 5 years of Experience

• Experience in digital media (buying/ tagging/ mart tech etc).
• Independently manage his/her own workstream with the guidance of the measurement and analytics lead.
• Comfortable providing guidance for an analyst.
• Problem solver who learns from mistakes and is looking for new approaches and solutions in addressing issues.
• Strong communication skills, both verbal and written, and be able to explain and understand complex concepts.
• Knowledge of Google product suite (Double Click Manager, Search Ads, YouTube etc.) and Social Media platforms (Facebook, Twitter etc.).
• Understanding data and measurement for media.
• Understanding of industry tools and systems (servers, DSP, DMP) especially digital insight tools and key media terminology and practices across different markets.
• Experience with data visualization tools (Datorama, Data Studio, Tableau, Power BI, etc).
• Experience in leading an analytics team.
• Open to new ways of doing things and questions existing approaches, views change as an opportunity, comfortable working in a dynamic and ambiguous environment.
• Expresses ideas confidently and clearly, builds positive and constructive relationships with others, gets to know colleagues within their own team and supports them to ensure team goals are achieved.
• Understand who customers are and seek to exceed needs, focusing on the importance of safety for both customers and employees.
• Has the ability to influence, inspire, lead and direct others, can work autonomously as well as in a team.

8. BS in Operations Research with 2 years of Experience

• End to end User AcceptanceTesting, delivery of agreed KPIs
• Experience in building and leading an analytics function
• Extensive knowledge of digital analytics tools such as Google Analytics, BiqQuery and data visualization tools (e.g. Tableau)
• Exceptional aptitude for data analysis and creative problem‑solving.
• Excellent numeracy and analytical skills
• Commercially savvy and results‑orientated
• Expertise in digital tagging, and excellent communication skills.
• Knowledge of yielding processes in the travel industry.
• Numerate graduate degree with a high degree of statistical content.
• Be well versed with new edge Analytics tools like Tableau, R and python
• Excellent problem‑solving capabilities and superior analytical skills.
• Deep interest and aptitude in data, metrics, analysis and trends.

9. BS in Engineering with 2 years of Experience

• Experience working on a globally distributed team, using a "follow the sun" model.
• People management in Business Intelligence or Analytics with a proven track record of hiring
• Excellent communication with technical and non-technical data consumers
• First‑hand expertise in Tableau (or other BI tools), building and maintaining enterprise‑level dashboards
• Excellent SQL skills and comfortable using Git, python
• Passion for Data Visualization and driving user adoption of dashboards
• Impeccable attention and commitment to creating clean reproducible code
• Deep understanding of data gathering, inspecting, cleansing, transforming and validating assumptions
• Flexibility to adapt to changing requirements to meet stakeholder needs
• Ability to thrive in a dynamic environment with a high degree of ambiguity

10. BS in Finance with 7 years of Experience

• Professional experience ideally in a B2C business
• Acting in a supervisory/management role with direct reports
• Experience with Python and SQL
• Experience as a data analyst, business analyst, or product analyst (must have strong product and user experience sense)
• Experience with data processing and storage frameworks like Apache Beam, BigQuery, BigTable, Redshift, Kinesis, etc.
• Experience with Tableau, Data Studio, or other dashboarding tools
• Familiarity with: ETL pipeline orchestration frameworks, such as Airflow, version control systems such as Github, and cloud environments such as Google Cloud Platform or AWS
• Has excellent written and verbal communication skills.
• Has ability to craft a compelling story and concisely present recommendations across teams and levels
• Able to work with little supervision and meet deadlines on a consistent basis
• Highly organized with the ability to multitask in a fast paced environment

11. BS in Data Science with 5 years of Experience

• Expertise in data analytics or data science for online consumer software products, e.g. online shopping, social media, streaming services, content aggregation, gaming, etc.
• Leadership and people management experience
• Hands‑on experience conducting quantitative product/business analysis using Python or R, and SQL
• Passion for enabling analytics and data science best practices
• Create analytical frameworks to measure team success: partner with cross‑functional teams to define success metrics; create approaches to track the data and troubleshoot errors, quantify and evaluate the data
• Establish meaningful business insights and lead development and implementation of statistical and machine learning models to drive improvements in products
• Hands‑on experience with experimentation, including design, implementation, and interpreting results for stakeholders methodologies (e.g. hypothesis testing and regression analysis) for analyzing and interpreting results to stakeholders
• Comfortable functioning in spaces with high ambiguity and adapt easily to changing environments
• Knowledge of basic SQL, BI tools, Microsoft Excel
• Good interpersonal communication, and problem‑solving.

12. BS in Statistics with 6 years of Experience

• Analytical mindset and problem‑solving ability with a quantitative aptitude
• Ability to apply numerical analyses to draw insights from financial market data
• Pattern recognition skills, strong memory and attention to detail
• Experience of having worked with Equities, Fixed Income or derivatives products
• Decent coding skills (R/Python/C/C++) along with hands‑on experience with Git
• Strong verbal and written communication skills
• Ability to work with a team, brainstorm and engage using idea exchange
• Ability to take ownership of assigned task and drive it independently
• Experience with Product, Sales Analytics or Strategy and Operations, SQL
• Experience with building and delivering presentations to senior executives and translating data insights into concise and insightful executive summaries and presentations
• Experience with designing and building Tableau visualizations
• Prior experience working with reports dashboards, and custom objects in Salesforce
• Prior knowledge of and application of core statistics techniques, with experience with building statistical models (e.g. regression, etc.) to perform complex analyses

13. BS in Mathematics with 4 years of Experience

• Experience in one or a combination of the following: reporting, analytics, or modeling
• Extensive knowledge and understanding of research and analysis
• Ability to motivate staff to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment
• Strong analytical skills with high attention to detail and accuracy
• Excellent verbal, written, and interpersonal communication skills
• Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment.
• Experience in gathering, analyzing and interpreting large data sets
• SQL or SAS experience, management experience
• Ability to work effectively in virtual environment where key team members and partners are in various time zones and locations
• Knowledge and understanding of technology architecture: development consultation including optimal design and configurations
• Knowledge and understanding of technology testing: unit, regression, integration, and stress performance testing
• Design consultation experience at the highest technical level: planning, integration, implementation, scalability, and problem definition

14. BS in Computer Science with 2 years of Experience

• Experience in consumer/shopper marketing research and analytics, category management, and/or consumer/shopper research within the consumer goods industry.
• Demonstrate the ability to influence parties within and outside of the job function at an operational level regarding policies, procedures, and practices.
• A solid understanding of retail sales, and the key elements of building an impactful sales conversation e.g. storyboarding, analytics, graphics, execution
• Must have the ability to develop and deliver a compelling fact-based conversation to senior leaders at the internal/external HQ/Corporate level.
• Excellent analytical skills: experience with mining syndicated Nielsen/IRI scanning and panel data, case sales data, and NAB proprietary custom consumer surveys; ability to provide useful actionable tools to the organization, etc.
• Ability to communicate effectively, integrate insights from multiple data sources and weave into an integrated insights story that leads to business actions.
• Ability to interact with senior leaders as well as with peers in brand, sales and operations.
• Ability to work independently while ensuring multiple priorities are balanced.
• In‑depth knowledge of the CPG industry including retail environments/channels, customers, competitive products, center store challenges, competitive strategies, and industry trends.

15. BS in Information Systems with 6 years of Experience

• Experience in risk analytics, data analytics, or risk management
• Demonstrated knowledge of SQL, MDX, Base SAS and/or Hadoop
• Knowledge of tools in Data Mining (e.g., Microsoft SQL Server), Project and people management, Machine Learning/Cognitive (e.g., Python, Mahout, IBM Watson, CognitiveScale)
• Knowledge of tools in Predictive Analytics/Data Mining (e.g., IBM SPSS, SAS Enterprise Miner, RPL, Python, Matl), Data Visualization (e.g., Tableau, TIBCO-Spotfire, CliqView, SPSS)
• Knowledge of tools in Big Data Tools (e.g., Hadoop, Hive, Pig, Impala, Mahout), data management (e.g., Informatica, Collibra)
• Experience developing statistical modeling tools and techniques
• Knowledge of data warehouse, database design, and data mining
• Understanding of performance management and predictive performance modeling concepts
• Knowledge of enterprise risk management, risk reporting, dashboarding and business planning
• Strong verbal and written communication skills
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
• Experience leading offshore/onshore teams.
• Understanding of the finance and business cycles, management reporting and optimization

Editorial Process and Content Quality

This content is developed by the Lamwork Editorial Team using structured analysis of real-world job data, skill requirements, and hiring patterns.

Research framework by Lam Nguyen , Founder & Editorial Lead.