Data Analytics Job Description
Data analytics
provides analytical support utilizing variety of vehicles including SQL, Python, R, and Tableau.
Data Analytics Duties & Responsibilities
To write an effective data analytics job description, begin by listing detailed duties, responsibilities and expectations. We have included data analytics job description templates that you can modify and use.
Sample responsibilities for this position include:
Manage the compilation, analysis, and reporting of data via SQL and other tools to forecast trends, apply various analytical techniques
Integrate user feedback for continuous process improvement
Mentor Business Intelligence Analysts, delivering pro-active insight in order to drive business strategy and behaviours throughout the Phone Channel
Aggregate and “clean” data from multiple different data sources, be able to create summary views of data to be used for leadership reporting
Design and implement database applications
Analyze large, multi-dimensional datasets, identifying actionable insights
Apply data mining and develop intelligent analyses and forecasts
Develop various dashboards for management reporting, trend analysis, financial modeling and ad-hoc analysis to support management decision making
Design and implement tools to track/report data on a daily, weekly, monthly basis to assess performance and recommend related strategies
Guides the Software Engineering team and works with product owners identifying product and technical requirements
Data Analytics Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Data Analytics
List any licenses or certifications required by the position: CISA, CPA, CIA, PMP, BI, CISSP, SQL, SAS, CFAB, ICAEW
Education for Data Analytics
Typically a job would require a certain level of education.
Employers hiring for the data 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, Engineering, Mathematics, Business, Science, Technical, Economics, Finance, Information Systems
Skills for Data Analytics
Desired skills for data analytics include:
SQL
Python
R
Machine learning
Tableau
Excel
Operations research
Econometrics
SAS
Cloud computing
Desired experience for data analytics includes:
In-depth project management skills that incorporate change management, business requirements, design (including data flow mapping), prototyping, development, testing, training
Ability to work at multiple levels of audit, business, and IT management
Proficiency in ETL packages such as Informatica
A minimum of five years' relevant experience on data analytics, applied statistics or in an investigative or audit environment
Familiar with SQL database and programming, experience with SAP, Oracle or other local ERP systems is preferred
Audit or accounting experience is preferred
Data Analytics Examples
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Data Analytics Job Description
Job Description Example
Our growing company is hiring for a data analytics. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.
Responsibilities for data analytics
- Develop or expand web analytics (Adobe) skills
- Implement online target marketing, digital experience testing and various test tools across all digital platforms
- Develop “born online” portfolio reporting
- Prepare and present executive quarterly and monthly reporting
- Lead digital benchmarking efforts
- Consult with digital engagement committees and marketing campaigns
- Manage ad-hoc and scheduled reporting request
- Provide strategic direction to team based on planning/needs assessment with partners and analytics intake requests
- Work with business owners to identify information needs and develop reporting
- Create and implement the data analytics roadmap
Qualifications for data analytics
- Proficiency in of the major BI Reporting tools such as Business Objects, SQL Server-Reporting Services, Cognos
- 10+ years in management, and operational and/or technology experience
- Must have strong functional understanding of contemporary media data analytics and research techniques
- Must have strong entrepreneurial mind-set the drives to dig in, problem solve, and evolve the agency’s data & analytics product for the mutual benefit of our client and the agency
- Candidate must be able to cultivate excellent relationships with technology and research partners
- Ensure delivery and integration of conclusions/recommendations and actionable insights
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Data Analytics Job Description
Job Description Example
Our innovative and growing company is looking to fill the role of data analytics. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.
Responsibilities for data analytics
- Manage vendor and internal solutions
- Partner with finance team on the delivery of accurate and timely reporting, critical to running the business
- Stay on top of emerging digital technologies
- Manage team in the design, implementation and reporting of complex digital analytics requirements, with a strong understanding of how to design analysis around business goals
- Responsible for driving Digital Operations in accomplishing its objectives of revenue stimulation, subscriber growth, profitability enhancement and churn reduction
- You will contribute with technical insight to the strategy & roadmap for the analytics area
- Manage automated data updates to the analytic data environment
- Collaborate with customers/potential customers regarding student learning needs
- Work with customers and Achievement Solutions Group (ASG) to help solve student achievement challenges
- Support new relationships with district decision-makers through meaningful and actionable student data presentations and documents
Qualifications for data analytics
- Strong analytical capabilities and ability to make recommendations based on data
- Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, Operations Research, or Electrical Engineering
- Bachelor’s or advanced degree in statistics, math, or a related field is required
- Ability to interpret business needs and experience developing strategic, KPI-based analytics
- You have the ability to effectively translate business problems into technical solutions, and communicate effectively with customers, engineering colleagues senior management
- Bachelor's degree in a scientific and/or computer related field (math, science, computer science, business specialization in computing)
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Data Analytics Job Description
Job Description Example
Our growing company is looking to fill the role of data analytics. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for data analytics
- Leads teams to optimize multiple models, develops selection criteria related strategies to assist sales promotions and marketing campaigns across insurance customer lifecycle
- Providing support in the development of various Single Family Credit Portfolio Surveillance analytics in MicroStrategy
- Writing ETL code using tools like Informatica to extract and transform data
- Architecting data models to work for use in Business Intelligence platforms such as MicroStrategy
- Building metrics, filters, reports, documents, and dashboards in tools such as MicroStrategy
- Developing and maintaining dashboard designs that support multiple client hardware platforms and maximizing usability and clarity for complex business needs and functions
- Identify data quality anomalies through the generation and analysis of customized and cyclical reporting processes identifying trends and opportunities for improvement, providing recommendations to management and business partners
- Writes convention queries to answer compound business questions
- Conceives and implements fresh metrics for netting formerly not so understood parts of the business / product
- Identifies data quality concerns, such as data gaps or partialities in data acquisition
Qualifications for data analytics
- 7-10 years’ experience in programming, server or data management
- Working knowledge of Oracle programming skills a plus
- SAS certifications are a plus
- Experience working with medical claim files plus
- Experience working in the wellness industry plus
- Strong communication skills with the ability to explain technical concepts and analytics-driven findings to business audiences potentially including C-level executives, and to explain business processes, concepts, challenges, and issues to technical resources
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Data Analytics Job Description
Job Description Example
Our growing company is looking to fill the role of data analytics. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for data analytics
- Cooperates with the rest of engineering team to gather incremental new data
- Doing analysis and presenting results in a clear manner
- Prepare reports based on analysis and present to management with strategic actionable insights
- Thought leadership - Identify newer products and features that are derived from unlocking the value of data
- Develop ability to use predictive modeling, statistics, trend analysis, and other data analysis techniques to assist with collecting, exploring, and identify the right condo data to be analyzed from internal and external sources
- Assist with building datasets for analysis by importing and converting data from various data formats, files systems and relational databases
- Provide assistance with identify data quality anomalies through the generation and analysis of customized and cyclical reporting processes assist with identifying trends and opportunities for improvement, providing recommendations to management and business partners
- Generation of campaign qualified prospect lists for business development and marketing
- Increased email rates
- Salesforce Chatter version of events calendar
Qualifications for data analytics
- Motivation not just to change how we work with our customers, but also in the way that we operate as a business
- 2+ years hands on experience with products of Hadoop ecosystems (HDFS, Hive, HBASE, Pig, Sqoop, Flume, Oozie, Spark, Storm)
- Experienced in Java, C/C++, Shell Script, Python, Perl
- Should be comfortable & experienced in TCP/IP, HTTP, SOAP WS, REST, JMS, SFTP, SCP, RSYNC, Curl
- Experience with Apache Flume, Apache NiFi, Apache kafka, Apache Camel is a big plus
- Good SQL skills, SQLLDR and experience with relational databases will be needed on the job
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Data Analytics Job Description
Job Description Example
Our growing company is hiring for a data analytics. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for data analytics
- Creating and improving analytical models
- Designing and implementing algorithms
- Help our clients in defining data strategies, use cases and business cases
- Define and implement processes and procedures on analytical projects to ensure consistency
- Extract and transform data from existing data stores and create data assets for ad-hoc analyses, larger studies, and ongoing metrics
- Construct predictive models to explain and understand observed events, forecast expected behavior, or identify risk through scoring or clustering
- Assist partners in the integration of analytic models and algorithms into existing business processes
- Employ optimization algorithms to improve the efficiency of our operational strategies
- Work with partners within and/or outside Finance to translate business needs into a quantitative framework, identify available data, communicate findings and results, and develop implementation strategies
- Handles and delivers requests for post-market complaint data
Qualifications for data analytics
- Experience with noSQL databases (HBASE) is an added advantage
- Experience with DEVOPS tools is an advantage
- Exposure to analytical tools (Tableau, Oracle OBIEE or Spotfire) is an advantage
- Exposure to the AWS stack - EMR, EC2
- Be fully responsible for analyzing local data and able to extract insights on each city difference
- Be expected to achieve better hyper-local planning activities across cities based on solid data