Digital Data Analyst Job Description
Digital Data Analyst Duties & Responsibilities
To write an effective digital data analyst job description, begin by listing detailed duties, responsibilities and expectations. We have included digital data analyst job description templates that you can modify and use.
Sample responsibilities for this position include:
Digital Data Analyst Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Digital Data Analyst
List any licenses or certifications required by the position: PCI, AWS, APICS, CPDA, ACFE, CFE, SAS
Education for Digital Data Analyst
Typically a job would require a certain level of education.
Employers hiring for the digital data analyst job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Computer Science, Statistics, Mathematics, Economics, Business, Engineering, Marketing, Math, Education, Finance
Skills for Digital Data Analyst
Desired skills for digital data analyst include:
Desired experience for digital data analyst includes:
Digital Data Analyst Examples
Digital Data Analyst Job Description
- Identify root cause and resolve data synchronization errors
- Escalate quality issues to appropriate areas
- Maintain and report metrics regarding quantity and quality of work
- Provide input on- and work toward- syndication system and process improvements
- 30% Become the subject matter expert for assigned product category online
- 15% Responsible for category product data projects and status reporting - SKU collection and maintenance, product cross merchandising online, product presentation
- 10% Responsible for prioritizing projects, tasks to ensure deliverables and goals are met or exceeded
- 10% Coordinate integrated teams from external agencies or functional organizations supporting managed initiatives
- 10% Trouble shoot and problem solve for ongoing operational needs as they arise - store sku alignment, online product availability, others
- 10% Ability to author clear, concise end user/training materials for processes
- Basic understanding of the marketing and digital media landscape
- Working knowledge of multiple data tools and analytics platforms
- Experience in data analysis, performance analytics, and benchmarking
- Detail-oriented, organized, meticulous with data, curious and eager to learn
- 1-2 years hands-on professional experience
- 10+ years of hands on MIS/ analytics experience within the digital space (consumer web and mobile)
Digital Data Analyst Job Description
- 2-3 years FP&A experience in the advertising or technology industry
- Demonstrated ability to work in a fast-paced, dynamic environment with excellent communication and time management skills
- Can-do attitude towards meeting challenging deadlines with high quality of work and attention to detail
- Run comparisons of Showtime products’ performance across apps and third-party partners
- Design, develop and manage ongoing and adhoc digital/social/brand KPI reports and dashboards for presentation and analysis
- Analyze complex sets of digital/social/brand data
- Perform monthly data validation across all data sources and implement custom event tracking tags via Adobe DTM
- Work with 3rd party solution providers to implement new tools, updates and/or fixes and provide ongoing technical support/training as needed
- Track, report on, and make recommendations on digital HealthCare advertising campaigns
- Integrate non-personal channels
- Experience in digital / online is highly favourable
- Experience in R or Python is essential
- Google Analytics experience is highly advantageous
- Digital Analytics - Sr
- Master’s or Bachelor's degree with equivalent work experience in Analytics/Business Intelligence fields
- Reporting on key metrics, analysing and interpreting trends and providing actionable insights based on available analytics data
Digital Data Analyst Job Description
- Own weekly, monthly, and quarterly reporting
- Build a strong and durable partnership with both our partners and IT teams to automate
- Analyze transactions of selected clients (primarily from the digital goods segment) for fraud patterns and derive rules to reduce fraud numbers
- Co-operate with client's fraud teams to jointly work on improved fraud prevention
- Support further development of the fraud prevention solutions and analytic tools
- Maintain industry best practice and client-specific fraud prevention rule sets
- Assess effectiveness of existing fraud prevention rule sets (fraud hit ratio, false positive ratio)
- Create and present statistics related to payment and fraud
- Support marketing campaign improvements through the creation of segmented and modelled data and support of campaign teams in selection creation
- Support marketing campaign improvements through the delivery of campaign evaluation and campaign reporting
- Bachelor’s or Advanced Degree in Statistics, Math or related field is required
- Working knowledge of, and/or training on, segmentation, digital attribution & optimization, and econometric & time-series techniques in support of marketing applications
- Working knowledge or training in relational databases and big-data systems to aggregate, organize, and prepare data for analysis
- Knowledge of statistical modeling & data-mining techniques
- Knowledge of big-data technology, enablement & analytic tools (including Hadoop, Relational Databases, SQL, R, SAS, Python)
- Knowledge of programming languages, such as SQL, SAS, SPSS, R and more are preferred
Digital Data Analyst Job Description
- Support the sales and marketing strategy and planning through the creation of client insight and reporting Commercial dashboards
- Act as the custodian of our data & compliance obligations across EMEA
- Be able to work with new data sources for rapid insight and support the subsequent automation of new data feeds and the growth of the analytics platform
- Support the automation of data processes to enhance execution
- Promote a corporate entrepreneur mindset within the Digital Innovation Lab that will positively influence the successful delivery of fast paced digital innovation solutions, ideas & opportunities
- In direct alignment with our digital strategy, conceive and design digital data analysis architecture that directly support the company’s key digital projects and priority topics
- Implement targeted digital data platform & analysis solutions with support from technology and data together with the team colleagues
- Design and implement the process, people and technology infrastructure needed to enable world-class digital IT data services that support the growth strategy of the company
- Drive thoughtful innovation through research of leading edge solutions and external “next best practices” which will support the needs of the next generation of mobile solution & strategy
- Engage with commercial leaders in designing digital IT data solutions, promoting latest solution across the business and embedding into the business process
- Prior experience working for minimum two years in a research firm, consulting, advertising agency or on a analytics team is a must
- In-depth SQL knowledge is preferred
- Native Japanese and at least intermediate to business level English is ideal
- Associates degree or higher in Business Information Management is preferred
- One (1) year working with PIM systems
- One (1) year working with Hybris, GGSM and GSDB
Digital Data Analyst Job Description
- Monitor booked demand in to inventory requirements for all inventory sources
- Liaise between the lines of business and the development teams to translate business and design requirements into technical requirements
- Apply expertise in data mining, manipulation, and analysis to uncover unusual insights and formulate meaningful recommendations
- Partner with product managers to evaluate product and sales performance, find opportunities for investigation, and conduct analysis to evaluate hypotheses
- Support A|B and multi-variate product tests to evaluate impact on key performance metrics across various customer and technology platform segments
- Grounded in deep analysis of our datasets, make recommendations to improve our customer-facing products (eg
- Bachelor’s degree in Finance, Economics or Accounting required
- Experience supporting sales teams and their leaders
- Act as the day-to-day support for our proprietary reporting tool, working closely with the Account Management and Project Management teams
- Troubleshoot any reporting issues
- Knowledge of data mining tools like SAS, SQL, other programming languages to work with Big data is preferred
- Familiarity with A/B and multivariate testing tools preferred (Maxymiser, Adobe Test & Target, Optimizely)
- Expert level experience with digital/social/brand measurement solutions
- Experience working with data visualization solutions to create KPI scorecards/dashboards for key stakeholders
- Experience working within an enterprise-class content management system
- Advanced knowledge of business intelligence and user insights concepts for the web to inform content strategy and enhance effectiveness of digital campaigns