Data Staff Job Description
Data staff
provides training for student partners in formulas, filters, charts and pivot tables, in Excel and Google Sheets (to pipeline each worker into more advanced responsibilities).
Data Staff Duties & Responsibilities
To write an effective data staff job description, begin by listing detailed duties, responsibilities and expectations. We have included data staff job description templates that you can modify and use.
Sample responsibilities for this position include:
Determines changes in physical database by studying project requirements
Push your algorithm to production and help make money
Familiarity with building predictive analytic models and expertise in taking them to production
Strong knowledge of core software technologies and fundamentals – specifically for large-scale distributed systems – and building highly available services
Ability to go across the full product development lifecycle – from design and development, to testing and deployment, to running large-scale, highly-available services in production
Ability to lead and take ownership of projects in your areas of expertise, combined with working well with, and eagerness to learn from, others
Close partnership with internal partners from Engineering, product, and business (Sales, Customer Experience, Marketing )
Scope, prioritize, plan & execute of the organization’s Power Plant Configuration strategic roadmap
Define the processes and templates to execute the Power MDM strategy
Drive Power Plant Configuration projects through analysis, design, build, conversions, testing and go-live
Data Staff Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Data Staff
List any licenses or certifications required by the position: ITIL, PMP, AWS, CISSP, BI, CISA, BISCI, BLS, PMI, ASQ
Education for Data Staff
Typically a job would require a certain level of education.
Employers hiring for the data staff 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, Science, Engineering, Statistics, Mathematics, Technology, Information Technology, Math, Business, Information Science
Skills for Data Staff
Desired skills for data staff include:
Accounts payable
General accounting procedures
Java
Able to chain moderately complex title
Adobe Acrobat Pro
Oil and gas leasehold and mineral title
Outlook
Proficient in applying Excel Lookup & Reference formulas and use of Pivot Tables for reporting and analysis
Relevant federal and state statutes and regulations
SAP purchasing module and master data
Desired experience for data staff includes:
8+ years of EDW development experience including 2+ years in Big data space
Manage the project plans & other required project documentation & providing updates on project progress, budget, schedule & milestones, issues & risks
Manage third-party partners and/or vendor relationships, as necessary
SAP HANA knowledge a big plus
Assist in the analysis, design and development of a road-map, design pattern, and implementation based upon a current vs
Ability and willingness to work out of an office in Atlanta, GA
Data Staff Examples
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Data Staff Job Description
Job Description Example
Our growing company is hiring for a data staff. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for data staff
- Contribute to creating business processes and gathering business requirements
- Design / Code Reviews, Design and Coding Standards
- Three States of Data Database - physical, infrastructure, and application encryption
- Oversee the design, development, deployment and management of batch and real-time fraud and credit models/rules for both new and tenured customers, and to combat credit card fraud, bank account fraud, identity theft fraud, spoof fraud
- Prepare model development and validation documents for legal/compliance reviews, and monitor the performance of models/rules over time
- Work closely with key business stakeholders
- Research, explore, and enable new quantitative techniques and technologies in data science
- Communicate key analytic findings within the business and to senior stakeholders
- Complex analytical initiatives, developing tracking, combining data from multiple sources to extract meaning, reconcile assumptions, and identify logical path for action
- Democratize data by building and socializing decision tools (dashboards, reports)
Qualifications for data staff
- Design user interfaces for real-time and historical data
- Guide infrastructure and database improvement development
- High flexibility and
- Previous experience with advanced SQL programming including
- Must be willing to work out of an office located in Boston, MA
- 4+ years of experience building scalable and reliable data pipelines based on Big Data processing technologies like Hadoop, MapReduce, Spark or ETL on MPPs
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Data Staff Job Description
Job Description Example
Our growing company is looking for a data staff. 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 staff
- Own partnering with product management to be an expert on the data, provide the research, and build knowledge of the nuances necessary to help determine segmentation and timing strategies
- Own the reporting and monitoring of this project
- Be the point of contact for deep-dive analytics questions, diagnosing and problem-solving through fire-drills
- Provides guidance and support leadership to Business leaders and stakeholders on how best to harness available data, extract meaning, reconcile assumptions, and identify logical path for action
- Build and socialize decision tools (dashboards, reports) and key data sets/pipelines to empower operational and exploratory analysis
- Applies proven methods and hacking skills in working with divergent data types and data scales, to explore and extrapolate data-driven insights
- Uses considerable expertise and independent judgment in collaborating with peers, product managers, developers, and data engineers, in designing and implementing the research strategy needed to methodically and iteratively structure, extract, cleanse, sample, test, validate, and communicate data-driven insights from complex sources and significant volumes of data
- Collaborates with others in building innovative data capture and batch/real time analytic, reporting and execution capabilities needed by the business
- Collaborates with Data Architects / Product Development on changes associated with data systems or system interfaces (eg
- Recommends/sets data standards to improve quality of data and speed to analytics, reporting and execution
Qualifications for data staff
- Build, publish, and maintain dynamic BI (Business
- Help direct database design and configuration
- Technical knowledge of Microsoft products (ACCESS, Excel, ) and SQL a plus
- Experience leading successful cross-functional agile development teams
- Experience operating a mission critical data warehouse
- PhD in Computer Science, Machine Learning, Mathematics, or related quantitative field
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Data Staff Job Description
Job Description Example
Our company is growing rapidly and is looking to fill the role of data staff. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for data staff
- Creates complex software programs and applications for acquisition, processing, and management of massive quantities of data using high-level programming languages
- Enable timely reporting, analytics and execution of rules
- Build and maintain pipelines and dashboards/reports used to drive decisions across the Quickbooks Payments/Payroll
- Proper documentation of projects
- Be able to prepare audit documentation
- Support rules in Zoot, using the AI tool to make changes and push to production
- Analyze existing rules to improve performance and reduce false positives
- Communicate progress across organizations and levels from individual contributor to executive
- Ensure that data findings are appropriately visualized in a way that will resonate with stakeholders and clearly highlight implications
- Apply analytical and statistical methods and models to provide stakeholders with actionable insights that will improve sales conversion, retention and higher customer value
Qualifications for data staff
- Experience with data preparation and data wrangling of complex and disparate data sources - big data experience with Hadoop, Spark
- A Master’s degree in Computer Science, Statistics, Data Science or related analytical field of study with classes in statistics
- Of data including SQL and NoSQL databases
- A Master’s degree in Statistics, Economics, Mathematics or a related quantitative discipline is preferred, though candidates with advanced degrees in other disciplines with extensive quantitative coursework or professional experience will be considered
- A minimum of 3 years of experience writing production grade code on a standard statistical platform (SAS, R)
- The ability to meaningfully portray and effectively communicate complex quantitative data in an easy-to-understand format is required
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Data Staff Job Description
Job Description Example
Our growing company is looking to fill the role of data staff. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for data staff
- Collaborate with data architects on requirements for source instrumentation, data acquisition, data transformation and database storage of various structured and unstructured data sets
- Assists in the analysis, design and development of a road-map, design pattern, and implementation based upon a current vs
- Define, implement and standardize metrics, reports and dashboards for our Search related another ML based classification and predictive models
- Perform DSAT analysis on user search queries & Intent classification for call routing
- Managing the crowdsource tasks to ensure high quality of annotated data are judged in timely fashion for our machine learning models
- Partner with analysts, report developers, architects, and business stakeholders to define and compute business metrics
- Provide processes and tools for efficient operability
- Conduct research to invent new algorithms and/or customized algorithms to solve analytical problems and build new tools to automate work
- Employ sophisticated analytics programs, machine learning and statistical methods to develop predictive and prescriptive modeling in support of high-level business goals
- Passionately drive continuous improvement culture by sustaining and improving existing analytics models/systems
Qualifications for data staff
- Requires a Master’s Degree in a relevant Engineering or Scientific discipline
- Demonstrated experience developing/applying predictive modeling experience employing machine learning methodology
- Good understanding of Streaming Processing engines Spark
- Proven aptitude for writing complex SQL queries and scripting in Python, Bash, R, Perl, or similar
- Exemplary communication skills and ability to work with cross-functional teams
- Experience working with large data sets, distributed computing tools (Map/Reduce, Hadoop, Hive, or Spark), and basic understanding of systems architecture preferred
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Data Staff Job Description
Job Description Example
Our growing company is searching for experienced candidates for the position of data staff. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for data staff
- Key thought-partner with business stakeholders
- Suggest appropriate analysis, ideas and data points to help drive business decisions
- Lead and execute analytics problems end-to-end
- Translate complex business requirements into a roadmap with key milestones and deliverables
- Serve as technical “go to” person for our core technologies
- Leads requirements gathering activities with functional customers across the company, while balancing their needs with adherence to the Enterprise Standard Translates high-level business requirements into detailed functional and technical specifications
- Provide technical expertise in ETL tools (ODI, Informatica) and mapping tools (FDMEE)
- Partner with Cyber Security and Technology Risk teams to solve problems and identify trends and opportunities
- Work closely with various integration efforts and identify opportunities for data quality/governance controls to improve data integrity and operational excellence Develops detailed analysis, design, construction and testing specifications ensuring technical compatibility and integration
- Partner with business analysts and engineering to enable decision support and key customer insights across the TurboTax product lineup experience
Qualifications for data staff
- Experience working with large data sets and distributed computing tools a plus (Map/Reduce, Hadoop, Hive, Spark )
- Risk, anti-fraud, and payments systems in general
- Build ML models to power real-time risk decisions regarding payments and money movement for small businesses, and recommend the best financial outcomes and actions for consumers
- Create and refine features from the underlying data
- BS, MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Econometrics, Operations Research)
- 1-3+ years’ experience with a general-purpose programming language