Business Intelligence Analytics Job Description

Business Intelligence Analytics Job Description

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Business intelligence analytics provides direction and deliver training to line of business personnel, Risk Management staff and others on regulatory matters, compliance policies and procedures, operational risk best practices and other industry best practices.

Business Intelligence Analytics Duties & Responsibilities

To write an effective business intelligence analytics job description, begin by listing detailed duties, responsibilities and expectations. We have included business intelligence analytics job description templates that you can modify and use.

Sample responsibilities for this position include:

Recommends business decisions through insights and analysis
Oversees and reviews digital reporting and analysis performed by analysts and senior analysts for completeness
Manages data requirements definition and implementation for digital projects to ensure the senior analyst's requirements and implementation meet the project's deliverables industry standards
Manages operational workload of DA team
Leads, mentors and develops team of Analysts/Senior Analysts
Leverage B2B & B2C data and analytics tools to provide recommendations on customer development efforts, targeted marketing campaigns, promotions, Ultimately, work to implement programs focused on increasing customer acquisition, retention, and loyalty
Analyze marketing program results and leverage analysis to optimize and improve direct marketing efforts
Provide operational support for production issues arising in the Customer Master and Data Warehouse ecosystem
Work closely with the data architecture team to ensure data integrity across the various platforms and sources
Work with stakeholders to understand business objectives

Business Intelligence Analytics Qualifications

Qualifications for a job description may include education, certification, and experience.

Licensing or Certifications for Business Intelligence Analytics

List any licenses or certifications required by the position: PMP, CAP, LEAN, BI, SAS, CE, CPA, TM1, ISTQB, API

Education for Business Intelligence Analytics

Typically a job would require a certain level of education.

Employers hiring for the business intelligence 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, Business, Statistics, Engineering, Finance, Mathematics, Economics, Math, Education, Technical

Skills for Business Intelligence Analytics

Desired skills for business intelligence analytics include:

Tableau
Excel
SQL
Python
Relevant regulatory compliance
Industry regulations
Microsoft Access
Regulatory data sources
Risk management practices
Salesforce

Desired experience for business intelligence analytics includes:

Essential knowledge across a broad spectrum of analytical disciplines (such as KPI and dashboard reporting, Business Intelligence, predictive modeling, data mining, marketing analytics, operations and supply chain analytics, pricing, text mining, ) and in-depth knowledge and experience in at least one of these areas
Ability to engage with stakeholders with diverse backgrounds and skillsets
High adaptability to change
Experience with Adobe Catalyst, Adobe Implementation, Tealium or Omniture preferred
Intermediate Knowledge of digital analytics tools
Substantial knowledge across a broad spectrum of analytical disciplines (such as KPI and dashboard reporting, Business Intelligence, predictive modeling, data mining, marketing analytics, operations and supply chain analytics, pricing, text mining, ) and in-depth knowledge and experience in at least one of these areas

Business Intelligence Analytics Examples

1

Business Intelligence Analytics Job Description

Job Description Example
Our innovative and growing company is searching for experienced candidates for the position of business intelligence analytics. Please review the list of responsibilities and qualifications. While this is our ideal list, we will consider candidates that do not necessarily have all of the qualifications, but have sufficient experience and talent.
Responsibilities for business intelligence analytics
  • Provide guidance to the technical execution of all activities related to the data warehouse, reporting and data quality
  • Develop appropriate technical ability within the business intelligence team
  • Directs the supervision of the Business Intelligence staff to include hiring, work allocation, scheduling, training and professional development, problem resolution, performance evaluation and related supervisory activities
  • This person will be the most advanced user of the in-market self-serve tool
  • Co-develop the proof of concept model this will primarily involve understanding the underlying assumptions and sense-checking outputs, working through how it shapes recommendations for allocation decisions
  • Integrate the input from multiple sources into a coherent single answer
  • Cleansing data from multiple sources, by growth drive
  • Provide technical support to all Brand Country Units
  • Support deployment of the model , deliver training and coaching across the marketing community
  • Help to drive the culture change by advocating the tool use, sharing with marketers how it adds value, working through real questions with marketers
Qualifications for business intelligence analytics
  • Awareness of Analytics and Reporting tools – preferably SSAS, SSRS, SAS
  • Ability to manage multiple projects application maintenance and support
  • Experience delivering projects using SDLC and Agile methodologies preferred
  • Maintains positive and trusted working relationships with all levels of the business and IT, with external partners and vendors
  • Critical and creative thinking a must
  • Proven ability to perform high quality technical documentation and presentations
2

Business Intelligence Analytics Job Description

Job Description Example
Our company is growing rapidly and is searching for experienced candidates for the position of business intelligence analytics. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for business intelligence analytics
  • Improve the quality of the company’s information resources and educate the user base through examples, training, and applications
  • Contribute to the development of an Impact Measurement capability
  • Improve the quality and use of the companies syndicated and secondary data sources for critical decision making
  • Recommend and oversee the purchase of syndicated and secondary data
  • Evaluate and recommend the purchase of new data sources for emerging therapeutic areas
  • Oversee the delivery of total company performance tracking with deliverables to senior management, Global Brand Teams and Affiliates
  • Manage out-sour
  • Cced resources and determine how to drive efficiency and value
  • Work with Global management to agree the role of the Global Analytics organization in predictive analytics, forecasting and marketing mix for the top ten Affiliates
  • Manage internal team of software engineers and data analysts/scientists
Qualifications for business intelligence analytics
  • Have produced project deliverables – data requirements, data dictionaries, source-to-destination mapping, project plans
  • Solid grasp of "big picture" digital, social media and mobile data
  • Development and support of an enterprise wide self-service Database Development, Data Warehousing and Business Intelligence environment in a collaborative relationship with key business representatives across the organization
  • Work with business representatives to define future opportunities and pain points that need to be addressed regarding analytics at the enterprise level
  • University or College Degree preferably in Finance or/and Marketing
  • 4/5 years’ experience in a relevant business area – marketing and finance experience
3

Business Intelligence Analytics Job Description

Job Description Example
Our company is growing rapidly and is hiring for a business intelligence analytics. Please review the list of responsibilities and qualifications. While this is our ideal list, we will consider candidates that do not necessarily have all of the qualifications, but have sufficient experience and talent.
Responsibilities for business intelligence analytics
  • Responsible for the leadership and mentoring of team’s development resources onshore and offshore in appropriate development disciplines and new technologies
  • Owns the delivery of products and features as defined by the product roadmap coordinated with Product management
  • Works with other leaders in Engineering and product management to determine the requirements necessary to deliver Legal Analytics products
  • Escalate project issues and concerns directly to the Director of Business Intelligence and Engineering Operations organization
  • Drive innovation! Build products from existing ideas, and help to develop new ideas based on your industry experience, your contact with prospects and your consumption of secondary research sources
  • Research, define and support the development of new products with analytic solutions to improve customer operations
  • Create proposals and statements of work
  • Ability to drive proof of concepts with very crisp success criteria
  • Understand and communicate the basic technology and development to customers
  • Function as the Product Owner in an Agile development environment
Qualifications for business intelligence analytics
  • Experience in data sourcing, extracting & cleaning
  • Proactive monitoring and sense of finding potential risks
  • Stakeholder management experience with various level of business partners
  • Collaborate with program leads to depict overall compliance status for business units
  • Responsible for Folder and File Structure Management plan
  • Lead the Internal Audit business intelligence team in creating self-serve risk models, dashboards and analytics across the organization
4

Business Intelligence Analytics Job Description

Job Description Example
Our growing company is looking for a business intelligence analytics. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for business intelligence analytics
  • Develop solid working relationships across business and technical groups to allow for more effective delivery of report/files with Qlikview N-Printing and Salesforce.com
  • Work with IT to design and develop Business Intelligence applications using Qlikview and Salesforce.com
  • Directly influences the culture of fundraising at Kellogg School of Management by promoting and upholding a standard of practice and assessment that is driven by data
  • Provide leadership for all stages for the software development /maintenance for the Business Intelligence application project portfolio
  • ODevelopment of KPI reports/dashboards
  • OData analysis of BI solutions
  • OReport/data structure optimization and integration
  • OAutomation, deployment, scheduling & distribution of reports
  • OBI platform support & administration
  • OAuditing & value realization (usage metrics)
Qualifications for business intelligence analytics
  • The successful candidate will have at least 7 years of experience in a technology based position, with at least 2 years leading increasingly complex and challenging projects that have led to the delivery of technology solutions into business organizations
  • A minimum of 2 years with BI Visualization tools
  • Experience providing informal technical guidance, leadership guidance, and conducting design and code reviews
  • An MBA or a Master’s degree in Statistics, Applied Mathematics or related field, preferred
  • Four to six years of experience in a related field or environment
  • The worker is not substantially exposed to adverse environmental conditions (such as in typical office or administrative work)
5

Business Intelligence Analytics Job Description

Job Description Example
Our innovative and growing company is searching for experienced candidates for the position of business intelligence analytics. Please review the list of responsibilities and qualifications. While this is our ideal list, we will consider candidates that do not necessarily have all of the qualifications, but have sufficient experience and talent.
Responsibilities for business intelligence analytics
  • Partner with enterprise architects to define and ensure proposed BI solutions adhere to enterprise reference architecture
  • Design robust data centric Business Intelligence solutions that consider technology from a development, operations, business, and vendor management perspective
  • Actively leads, participates and represents Service Performance team in meetings and facilitates cross-functional team collaboration
  • Create and deliver project communications and presentations to relevant stakeholders
  • Aligns application systems design with the business voice of the customer and articulates trade-offs and alternative options
  • Deliver the optimal mix of approach, process, and technology that best accomplish the goals of an application/project while adhering to enterprise reference architecture
  • Provide project governance via project estimating, financial analysis, risk, change management, and implementation planning for a portfolio of Business Intelligence initiatives
  • Advanced Analytics and Technologies – performs advanced analytics and data management as it pertains to specific job role
  • Continuing Education – takes a proactive approach to understanding industry and organization-specific business issues
  • Collaborate with ADP and business teams to define platform enhancements to meet business reporting needs
Qualifications for business intelligence analytics
  • Knowledge of systems or operational environments
  • Three plus years experience as a product manager/product owner for enterprise data analytics products
  • Experience in defining and delivering data analytics solutions
  • Experience working in the financial services
  • A technical background to understand and communicate data science and machine learning concepts
  • The ability to interface with customers and translate vague needs to crisp deliverables upon which the customer can take action

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