An awesome opportunity for someone in Columbus as a Director of Digital Analytics for Victoria’s Secret. Role has a team (Domestic + India) and is a key leader in our Enterprise Analytics team. Role does a lot of helping develop and drive the learning agenda for our brands as well as owning a robust testing (A/B) program. Good understanding of SQL is a must.

http://careers.lb.com/job/8719985/director-digital-customer-analytics-reynoldsburg-oh/ 

The Manager of Digital Analytics will lead a team that helps to solve challenging problems and boost company growth with applied analytics techniques and business insights. A successful Manager of Digital Analytics will bring their technical background in data analysis and data science together with solid people skills and a robust knowledge of business operations and analytics. This role will require you to lead the team towards objectives, understand and drive focus on business priorities, provide guidance and mentorship on data infrastructure and science.

• Advise on predictive and machine learning models, build strong business relationships, and help galvanize Safelite’s data-driven culture
• Work with cross-functional teams to understand data needs and define, validate, and measure core performance metrics
• Focus on relationship-building with various stakeholders across the organization to drive adoption of self-service analytics tools and complex/predictive models
• Set the data roadmap from quality to visualization to predictive modeling, and manage the build-out of “single source of truth” dashboards and data sets to track standard metrics performance and progress on business initiatives at all levels of the organization
• Extract actionable business insights through analyzing large, complex, multi-dimensional customer behavior data sets
• Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
• Work with the IT team to set requirements for data format and optimization in our Data Warehouse, and with the Operations teams to push through systems/processes improvements relevant to data generation and consistency
• Drive strategy and process for website, email and digital advertising A/B tests

Sr. Analyst, Advanced Analytics

Primary Function / Primary Goals / Objectives:

Responsible for providing advanced analytics across pediatric nutrition division, supporting marketing objectives for acquisition, retention, and profitability by identifying, designing, and implementing advanced analytical studies utilizing techniques such as statistical and algorithmic modeling.

Requirements:

3-5 years of hands-on experience required in statistical methods related to data mining, business analysis, design and design of experiments, and regression (logistic, Bayesian, hierarchical, etc.)

Statistical programming (e.g., R, SPSS) and database querying (e.g., SQL) required.
Expertise required of modeling tools, transactional data, CRM technologies, and segmentation/targeting strategies using demographic, behavioral, psychographic, economic, and census data.
Marketing mix modeling experience preferred, including media optimization, and using output of models to accurately forecast key performance indicators.
Desktop computing skills and experience using one or more word processing, spreadsheet (e.g., Microsoft Excel) and presentation graphics (e.g., Microsoft Powerpoint) software programs.
Familiar with GIS mapping or data visualization tools, such as MapInfo Professional or Tableau.
Relevant business experience required with demonstrated understating of marketing strategies; experience analyzing business trends within a complex retail distribution system (B2B2C) preferred (retail, financial services, and/or CPG experience)
Relevant functional backgrounds include, Marketing Analysis, Marketing Response Modeling, Financial Modeling, Database Marketing, or Statistical Modeling & Forecasting.
Proven success in presenting complex data to non-technical, senior leaders in an organization.
Ability to interact and conduct strategic discussions with multi-divisional leaders.
Strong work ethic, passionate about marketing, nutrition, and driving results.

Responsibilities:
Develop and lead through completion, advanced analytics projects:

Problem Formulation
Design of Experiment / Measurement Plan
Collect, query, integrate, and transform data
Analyze data using appropriate methodologies
Synthesize findings, craft deliverable document
Archive knowledge; build plan for next steps
Present recommendations to senior leaders
Conduct Ad Hoc analysis
Develop and test new or emerging analytics methodologies, including testing of new KPIs

Education:

Must possess a BS degree in Applied Statics, Mathematics, Operations Research or other hard science (STEM discipline).  MS/MBA or Ph.D. in quantitative discipline preferred.  Additional relevant experience beyond the requirements above could substitute for graduate education.

An Associate Marketing Analyst is committed to helping evaluate success across a variety of touchpoints, and in so doing supports the business needs of the agency and its clients by determining if customer experiences of varying scopes and scale are performing against objectives. The analysis and resulting deliverables will assist a multi-dimensional team with optimizing a variety of user experiences to meet business goals.

Reporting to the Senior Marketing Analyst, Associate Marketing Analysts will have both a supporting role and take the lead on various analytics initiatives. This highly integrated role will also be responsible for consulting with a cross-functional team with the aim of improving business strategies and demonstrating results for clients. Success in this role greatly depends on his/her ability to analyze results, provide actionable insights and build collaborative working relationships within the agency and with clients.

Responsibilities:

An Associate Marketing Analyst will work with a multi-channel digital team including SEO, social, paid, display and email, but will also be asked to regularly collaborate with an extended team of account services, web developers and clients in order to fulfill his or her duties.

Typical activities and deliverables will include:

• Responsible for tracking and reporting business results across website and multiple digital channels.
• Produce meaningful marketing key performance indicator (KPI) dashboards and deliver cross-channel performance reports with actionable insights.
• Work with cross-functional team to identify objectives and advise team on suitable measurement strategies
• Use methodical performance analysis to influence/support campaign plans and website development
• Analyze online channel performance, user behavior, conversion data and customer journeys, funnel analysis and multi-channel attribution.
• Perform ad-hoc analytics and conversion optimization consultancies across teams and influence optimization strategies with solid analytical data
• Set up A/B and multivariate testing and translate results to actionable business insights.
• Identifying and organizing analytics/reporting requirements from multiple sources including core and extended team, as well as client stakeholders
• Assist in point of view formulation around attribution model reporting for marketing campaigns
• Supporting maintenance of the agency’s analytics’ vendor evaluations, including up-to-date assessments of vendors and their offerings
• Occasional attendance at vendor demos and presentations to help assess new or updated offerings
• Occasional support in presentation of new vendor capabilities to internal and client stakeholders

Qualifications:

On-the-job training will be provided to fill gaps in skillset and ensure growth over time. With that said, the qualified candidate will meet as many of the following preferred skillset requirements as possible:

• Bachelor’s degree in marketing, analytics, statistics, finance or related field
• 1-3+ Years of Experience (in strategy, analytics or related field(s)
• Insatiable desire to learn and constantly extend his or her personal skillset.
• Self-motivated, with ability to work both independently and as a member of a multi-disciplinary team.
• Success working in fast-paced environment with ability to identify resources needed and reprioritize project tasks while meeting deadlines and goals.
• Ability to use analytical logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problem.
• Ability to identify problems and review related information to develop and evaluate options and implement solutions.
• Demonstrated success relaying analytics insights to internal and external stakeholders with various levels of analytical and digital knowledge.
• The ideal candidate for this position will have a combination of strong analytical, problem solving, and data manipulation skills and experience, the ability to synthesize analytic findings into actionable strategic recommendations, and experience in interactive/digital marketing
• Recognizes the connection between the business operations and analytics to influence business strategies and solutions.
• Excellent written and verbal communication skills, including the ability to present data analysis to internal stakeholders regularly, and clients occasionally.
• Strong data visualization and proficiency with advanced Excel/Google Sheets and PowerPoint

Proficient knowledge of:

• Digital campaign and website performance measurement
• The web development process
• Marketing funnels and conversion models.
• Leading web analytics packages (Google Analytics, Adobe Analytics)
  Google Tag Manager
• Email metrics
• Native social Insights (Facebook, Instagram, etc.)

Knowledge of the following are preferred, but not required:

• Google AdWords
• Experience using digital analytics and reporting tools such as Data Studio, Tableau, Domo or other BI tools, also social media management tools or social analytics tools
• Programmatic media planning, buying and/or measurement
• Data visualization and data storytelling
• Multi-channel attribution models
• Benchmark development
• Experience with SQL, SAS, Matlab, R, or other programming language is a plus

The Digital Optimization Analyst will be responsible for web analytics and reporting for Lane Bryant, Catherines and Cacique websites.   This position will evaluate customer shopping behavior and site conversion, and provide reporting and recommendations to internal business partners.  This position will also help drive revenue increases as a member of the experimentation and optimization team.

Duties:

• Optimization of website through deep-dive analysis and experimentation
• Utilize web analytics toolkit to analyze customer behavior to understand pain points and conversion obstacles
• Provide data-driven recommendations to improve customer experience and hypotheses to drive site testing program
• Present data, test results and recommendations to cross-functional peers and leadership team
• Regular and ad-hoc reporting and analysis
• Provide weekly site reporting and analysis of customer shopping patterns, site heat mapping, conversion funnel and search
• Create ad-hoc reporting as needed for business to understand online shopping trends
  Ensure the accuracy of the reporting data and analytics
  Standardize KPI reporting and regular performance assessment using all available analytics data including conversion, spend, merchandising performance and channel performance

Create and maintain strong partnerships:

• Challenge the thinking of others, quickly finding common ground to solve problems with the end customer in mind
• Work with cross-functional partners to create measurement plans for new projects and initiatives
• Maintain open communication and partnerships with Store and Ecommerce Operations, Central Planning, FP & A, Allocations, IT and Customer Service
• Support each other’s needs by providing information, potential solutions, and data
• Train new team members on Omniture reporting toolset

Experience:

• Minimum 1-2 years prior experience in retail web analytics, ecommerce finance or planning.
• Experience in an E-commerce environment preferred
• Use of web analytics and testing tools (Adobe SiteCatalyst, Google Analytics, Monetate, Adobe Test and Target or similar tools) preferred
• Excellent business and analytical acumen
• Excellent written and verbal communication skills
• Strong computer proficiency