Data Analyst, Analytics Job Description
Data Analyst, Analytics Duties & Responsibilities
To write an effective data analyst, analytics job description, begin by listing detailed duties, responsibilities and expectations. We have included data analyst, analytics job description templates that you can modify and use.
Sample responsibilities for this position include:
Data Analyst, Analytics Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Data Analyst, Analytics
List any licenses or certifications required by the position: ITIL, C.P.I.M, C.P.M, SAS, PMP, CPA, CCBA, CBAP, CFA, CISA
Education for Data Analyst, Analytics
Typically a job would require a certain level of education.
Employers hiring for the data analyst, analytics 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, Business, Economics, Engineering, Finance, Math, Information Systems, Education
Skills for Data Analyst, Analytics
Desired skills for data analyst, analytics include:
Desired experience for data analyst, analytics includes:
Data Analyst, Analytics Examples
Data Analyst, Analytics Job Description
- Identifying opportunities for improvement in existing reporting (including approach, visuals, methodological efficiencies, ) and implementing solutions to address those opportunities (includes automating reporting, wherever possible)
- Conducting analysis, identifying insights and providing recommendations to key stakeholders to inform business decision-making
- Providing leads/lists for outbound campaigns (based on analysis into best targets)
- Developing and delivering reporting to help evaluate the effectiveness of various outbound activities
- Perform Workforce data analysis and data modeling
- Support business requirements and facilitate information modelling to drive the Finance Data Strategy forward (eg
- Manage developer resources for data initiatives, liaise with senior management and project managers to assign tasks and oversee the appropriate allocation of resources
- Work with greater finance and enterprise analytics teams to understand key directives and lead proof-of-concept to support business case and validate assessments
- Interact closely with business stakeholders/ technology and other functions to leverage and optimize on reporting synergies, deliver on ad-hoc requests such as provisioning / summarizing data
- Possess advanced knowledge of broader enterprise data assets and ability to drive the execution of data management initiatives (eg
- An enthusiasm around innovation and increasing efficiency across various aspects of the business
- Preferred experience with a PaaS company
- Experience with COGNOS an asset
- Proactive, result driven, and organized with ability to under strict timelines
- Excellent communication skills with ability to work in cross functional teams
- Experience with eliciting and documenting business requirements (data and reporting requirements)
Data Analyst, Analytics Job Description
- Previous SAP experience would be an asset
- A very strong analytical and conceptual thinker who can lead teams or projects
- Demonstrated initiative, to work independently in fast-paced energetic environment and effectively manage multiple projects and priorities simultaneously
- Excellent written and oral communication skills with the ability to clearly communicate ideas and results to a non-technical audience
- Is a conceptual thinker
- Ability to create conceptual, logical and physical data models
- An appreciation of the unique aspects of Teradata implementation
- Interpreting project based data requirements, creating data mappings, performing design and maintenance of the Conceptual, Logical, and Physical Data Models within the Data Warehouse domain by leveraging your applied knowledge of distributed technologies, databases and data architecture
- Help in architecting and developing and up-keep of scaled-out, near real-time, highly performing big data infrastructure allowing Loblaws to leverage data effectively for internal / external data ingestion, stream processing, advanced analysis and applications including assisting in preparing a roadmap for Big-Data Systems
- Help in architecting and upkeep of our Analytical System (SAS) and SAS software roadmap, presenting technical briefings to the support staff, developers, analytical and the management teams
- Exposure to data visualization tools like Spotfire and Tableau (preferred)
- Bachelor’s degree in a quantitative field such as engineering, computer science, or applied mathematics required
- Experience in advanced analytics, predictive modeling
- Experience working with employee data and trends
- Experience working with PeopleSoft query and Taleo OBI
- Preferred experience with Tableau
Data Analyst, Analytics Job Description
- Organize, participate, and conduct internal product demonstrations
- Manage and track product issues and enhancements using the internal tracking system and departmental procedures
- Create and submit weekly status reports to management
- Build and maintain positive relationships with customers and internal team members
- Manage tasks to meet the assigned project timelines and milestones
- Participate in product testing and certification activities
- Assist in daily management of support issues escalated to product team
- Work with business consultants to understand and capture business requirements
- Perform statistical data analysis and build forecasting and optimization models
- Communicate the results efficiently to both technical and non-technical audiences
- Bachelor's in an analytical field
- Understanding of technologies costs
- Bachelor's Degree in Business Administration, Statistics, Math, Marketing, related field, or equivalent experience
- High degree of proficiency MS Office Suite, Outlook & Internet applications, including advanced proficiency with Microsoft Excel (data formats, formulas, look-up tables, data filters, pivot tables, etc)
- Strong experience with reporting packages, databases, statistical packages
- Statistical principles, techniques, and packages for analyzing large data sets (e.g., Excel, SPSS, SAS)
Data Analyst, Analytics Job Description
- Ensure that data solutions rely on technical experts in CIS and that maintenance of solutions does not fall on marketing data team
- Own the development of data quality standards and regular reporting and self directed accountability of accuracy
- Partner with CMI team to ensure no redundancy in key marketing data
- Standardizes data definitions, tables, fields that make usage easy
- Drive the integration of various customer data from PII to anonymous digital data from site, advertising tools and 3rd parties
- Assists in the building of a streamlined data structure of high quality CRM data from front end operational systems
- Independently accountable for the development of protocols, statistical analysis plans and analysis specifications for observational database analyses aligned with RWE generation objectives across the organization
- Conduct feasibility assessments using analytic tools
- Conduct observational data analyses (data management and statistical programming), oversee data management and statistical programming activities for the ODA Programmers
- Produce analysis datasets, listings, tables, and figures for research projects, according to specifications, while maintaining documentation and complying with pre-defined project / study standards
- Post-graduate or graduate degree from top tier college(s) in Computer Applications, Engineering, Mathematics, Operations research, , including a strong quantitative background
- Knowledge of applying fundamental data warehousing, cleaning, validation and statistical techniques
- Attention to detail and ability to work under pressure and deliver on tight deadlines
- Advanced technical ability in Excel
- Moderate to advanced technical abilities in SQL and/or SAS
- Understanding of fundamentals of content management and digital publishing email marketing tactics/technologies
Data Analyst, Analytics Job Description
- Coordinate with QA, Purchasing, Materials and Engineering personnel to ensure the Reject System is performing in an expeditious manner at each plant
- Coordinate with Operational Purchasing Personnel to ensure cost recoupment attempts are made for Supplier caused costs
- Prepare metrics to measure results of cost recoupment efforts
- Assist, as needed, in the resolution of quality issues resulting in warranty costs from either Supplier or internal causes
- You will be part of a 03 member sub-team reporting to a manager
- Regularly partner with Strategic Alliances to review PPS project status and identify areas of opportunity
- Work closely with Clinical Partnership, Quality and other departments to create tool kits to support various PSP initiatives to improve clinical, quality and member satisfaction outcomes using readily available reports
- Recommend changes in methods, procedures and policies to improve quality and consistency
- Effectively manage projects by setting clear project milestones and deliverables
- Ability to identify initiatives to improve healthcare effectiveness and develop metrics to track progress
- Project Participation - ensure completeness, accuracy, consistency and quality of all documents required for each project phase
- Collaborate with IT and our business partners to resolve and close all production tickets in a timely fashion, including participation in the assessment of data impacts and system impacts
- Pull and analyze large data sets and provide answers/recommendations based on the output
- Proven ability to initiate change when opportunities to improve are identified the successful candidate must be innovative to find opportunities and confident/comfortable to make opinions known and support their recommendation
- Strong time management skills to meet deadlines and the ability to remain organized and focused in a very fast paced environment where multiple and changing priorities are the norm
- A motivated team player who has previously demonstrated the ability to proactively initiate plans and begin appropriate courses of action rather than waiting for direction