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203.051 vacatures

18 okt 2020

Senior Data Analyst

Branche reclame, marketing en promotie
Dienstverband Zie onder
Uren Zie onder
Locatie Vianen,
Cuijk
Opleidingsniveau Zie onder
Organisatie FOOT LOCKER
Contactpersoon Zie onder

Informatie

Our global house-of-brands inspires and empowers youth culture. Relentlessly committed to fuel a shared passion for self-expression, we create unrivaled experiences at the heart of the sport and sneaker communities through the power of our people. If you want to be a part of something bigger than you can imagine, you've come to the right place. To learn more about the incredible impact we're making on both our local and global communities, Click Here! Foot Locker is seeking a Senior Data Analyst to join our Global Data function within Footlocker's Information Systems & Technology (IS&T) department. The incumbent will be closely working with a team of data analysts & data scientists across multitude & diverse data analysis projects covering the following:
- setting up a strong data foundation of information tracked from variety of our Omni Channels (stores, website, app, social media etc.) and enable accurate & trustable data access to the stakeholders
- deliver insights & recommendations driving actions & values to the business The role will primarily collaborate & build partnerships with the stakeholders from EMEA business functions (Planning, Store Ops, ecommerce, Digital Marketing & Experience etc.), understand their challenges & help them provide superior customer experience, driving traffic, sales & conversion in our channels.
Data Foundation, Reporting & Dashboard (35%):
- Providing internal consultancy & implementation support on campaign tagging and additional on-site tracking to our marketing, vendor, and agency partners
- Anchor as EMEA lead in defining the design solutions for our web analytics & tagging tools as per the business needs with our internal data team and oversee its implementation
- Maintain, Manage & Operate the data capture from variety of sub-channels (demand, cost, impressions etc.) from both short-term & long-term perspective within our Omni retail environment
- Lead data preparation and data wrangling activities to support our team analytics
- Become resident subject matter expert on data model and business considerations within the data; Provide thought leadership to team on use and interpretation
- Help & support with the implementation of our digital platforms & tools shaping up & ensuring their data layer aligns with the larger strategy.
- Spotting potential to implement innovative new methodologies and improve analytical procedure
- Using available data sources to deep dive and troubleshoot campaign (and overall) performance issues and propose methodical optimization tests, both on-site and campaign based.
- Define & set a baseline and measure KPIs from all our customer touchpoints describing user behavior, satisfaction, sales and conversion impact to track it's performance and discover under-performing areas or obstacles in the customer journey of our customers with the help of defined personas and based on data from sources such as site feedback, call center feedback, bug reports, site analysis and internal observations.
- Work with the business to establish necessary KPIs, and partner with our Enterprise Business Intelligence team to solve for their dashboarding needs
- Build easy to interpret and visualizing self-service dashboards and reports based on the defined KPIs for various business areas to help measuring the business performance in tools like Google Analytics, Google Data Studio, Adobe Analytics & PowerBI, only where necessary. Insights, Analysis & recommendations (65%):
- Analyze behavioral web analytics data utilizing Adobe Analytics, Google Analytics, SQL, Power BI, and other analytical toolsets to deliver insights and make recommendations for optimizations.
- Manage our analytics program based on defined strategy through an understanding of the following: marketing and data requirements, customer segmentation and targeting, business line goals, and an analytics roadmap that ties with our product roadmap.
- Build a deeper understanding of our customer through analyses, such as: Customer Segmentation, Retention, and Lifetime Value Analysis
- Provide ad-hoc data and analytics support to the business to build foundational understanding and deliver higher level insights
- Communicate clearly and effectively with business users and agile teams through all phases of the development life cycle
- Deliver key findings to members of the business though presentations and direct engagement that result in actions and improved decision making
- Develop and perform value measurement and tests to refine approaches and influence direction of analytic product development
- Conceptualize, develop, and execute measurable and actionable onsite optimization tests (A/B/N, MVT, Automated Personalization) across digital properties to increase conversion rates and drive revenue
- Manage end-to-end optimization testing processes, including prioritization, requirements gathering, implementation, measurement, and next-step recommendations
- Analyze test results statistical test results, with R, Python, or comparable mathematical programming languages, and propose appropriate optimizations to achieve revenue/profitability goals

Omschrijving

Our global house-of-brands inspires and empowers youth culture. Relentlessly committed to fuel a shared passion for self-expression, we create unrivaled experiences at the heart of the sport and sneaker communities through the power of our people. If you want to be a part of something bigger than you can imagine, you've come to the right place. To learn more about the incredible impact we're making on both our local and global communities, Click Here! Foot Locker is seeking a Senior Data Analyst to join our Global Data function within Footlocker's Information Systems & Technology (IS&T) department. The incumbent will be closely working with a team of data analysts & data scientists across multitude & diverse data analysis projects covering the following:

- setting up a strong data foundation of information tracked from variety of our Omni Channels (stores, website, app, social media etc.) and enable accurate & trustable data access to the stakeholders

- deliver insights & recommendations driving actions & values to the business The role will primarily collaborate & build partnerships with the stakeholders from EMEA business functions (Planning, Store Ops, ecommerce, Digital Marketing & Experience etc.), understand their challenges & help them provide superior customer experience, driving traffic, sales & conversion in our channels.

Data Foundation, Reporting & Dashboard (35%):

- Providing internal consultancy & implementation support on campaign tagging and additional on-site tracking to our marketing, vendor, and agency partners

- Anchor as EMEA lead in defining the design solutions for our web analytics & tagging tools as per the business needs with our internal data team and oversee its implementation

- Maintain, Manage & Operate the data capture from variety of sub-channels (demand, cost, impressions etc.) from both short-term & long-term perspective within our Omni retail environment

- Lead data preparation and data wrangling activities to support our team analytics

- Become resident subject matter expert on data model and business considerations within the data; Provide thought leadership to team on use and interpretation

- Help & support with the implementation of our digital platforms & tools shaping up & ensuring their data layer aligns with the larger strategy.

- Spotting potential to implement innovative new methodologies and improve analytical procedure

- Using available data sources to deep dive and troubleshoot campaign (and overall) performance issues and propose methodical optimization tests, both on-site and campaign based.

- Define & set a baseline and measure KPIs from all our customer touchpoints describing user behavior, satisfaction, sales and conversion impact to track it's performance and discover under-performing areas or obstacles in the customer journey of our customers with the help of defined personas and based on data from sources such as site feedback, call center feedback, bug reports, site analysis and internal observations.

- Work with the business to establish necessary KPIs, and partner with our Enterprise Business Intelligence team to solve for their dashboarding needs

- Build easy to interpret and visualizing self-service dashboards and reports based on the defined KPIs for various business areas to help measuring the business performance in tools like Google Analytics, Google Data Studio, Adobe Analytics & PowerBI, only where necessary. Insights, Analysis & recommendations (65%):

- Analyze behavioral web analytics data utilizing Adobe Analytics, Google Analytics, SQL, Power BI, and other analytical toolsets to deliver insights and make recommendations for optimizations.

- Manage our analytics program based on defined strategy through an understanding of the following: marketing and data requirements, customer segmentation and targeting, business line goals, and an analytics roadmap that ties with our product roadmap.

- Build a deeper understanding of our customer through analyses, such as: Customer Segmentation, Retention, and Lifetime Value Analysis

- Provide ad-hoc data and analytics support to the business to build foundational understanding and deliver higher level insights

- Communicate clearly and effectively with business users and agile teams through all phases of the development life cycle

- Deliver key findings to members of the business though presentations and direct engagement that result in actions and improved decision making

- Develop and perform value measurement and tests to refine approaches and influence direction of analytic product development

- Conceptualize, develop, and execute measurable and actionable onsite optimization tests (A/B/N, MVT, Automated Personalization) across digital properties to increase conversion rates and drive revenue

- Manage end-to-end optimization testing processes, including prioritization, requirements gathering, implementation, measurement, and next-step recommendations

- Analyze test results statistical test results, with R, Python, or comparable mathematical programming languages, and propose appropriate optimizations to achieve revenue/profitability goals

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