Data Operations Job Description

Data Operations Job Description

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Data operations provides subject matter expertise related to reference data including, but not limited to, classifications, ratings, industry identifiers, mastering rules, corporate actions and data vendors.

Data Operations Duties & Responsibilities

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

Sample responsibilities for this position include:

Active cash management
Synthesize data into lists, reports, and visualizations
Provide analysis of data and recommendations to help drive business strategy
Create prospect and customer lists for various marketing campaigns
Assist in QA of database upgrades/new developments/software deployments
Drives data strategy through use of industry best practices
Coordinate with marketing managers to ensure lists are relevant and well-prioritized
Design and implement scalable monitoring applications and tools
Automate processes and work flow
Monitor model production and testing processes

Data Operations Qualifications

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

Licensing or Certifications for Data Operations

List any licenses or certifications required by the position: ITIL, SSO, PMP, FRM, CFA, CMS, UNIX, II, IAT, ITSM

Education for Data Operations

Typically a job would require a certain level of education.

Employers hiring for the data operations 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, Engineering, Statistics, Finance, Economics, Mathematics, Technical, Information Technology, Information Systems

Skills for Data Operations

Desired skills for data operations include:

REUTERS
External reference data providers –BLOOMBERG
Will be an advantage
Middle office functions - desirable
Handling various related instrument reference data
SQL
Python
Index tracking and stock markets
Industry activities
Particularly corporate actions

Desired experience for data operations includes:

Must be proficient with productivity software including, but not limited to, Microsoft Office and Open Office email client software
Some understanding of financial services
Good understanding of external data vendor feeds
Planning and Organization - Sets objectives and goals
Peer Relationships - can quickly find common ground and solve problems for the good of all
3rd level degree (or equivalent) desirable but not essential

Data Operations Examples

1

Data Operations Job Description

Job Description Example
Our innovative and growing company is hiring for a data operations. 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 data operations
  • Examine datasets
  • Administrate market data access to internal consumers
  • Perform audits and track usage
  • Work with portfolio managers and quantitative researchers to optimize the model testing and production framework
  • Attend various interdepartmental meetings and pass pertinent information along to data management/operations
  • Work in our Data Services Team in San Francisco with team members also in Shenzhen China within our Data Analytics Group
  • Support and resolve data issues with accuracy and in a timely manner
  • Build and maintain reports and dashboards
  • Optimize existing processes
  • Work with external data providers and resolve issues raised by client or internal teams
Qualifications for data operations
  • Internet research and analytical skills
  • Intermediary excel including v look up and pivot table
  • Ability to meet aggressive deadlines and work independently in a past paced team environment
  • Working knowledge of corporate structure, hierarchies or Dun & Bradstreet a plus
  • Previous Prices and Date experience
  • Expertise with Microsoft Office (Word, PowerPoint, Excel - expert)
2

Data Operations Job Description

Job Description Example
Our company is hiring for a data operations. 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 data operations
  • Work with other teams to resolve data processing and/or client issues
  • Collaborate with our Research, Risk Support, Product Management and Application Development teams external data providers
  • Facilitating a data-driven, statistical approach to problem solving, including gathering, analyzing and reporting data
  • Becoming an expert in assigned business processes, including upstream and downstream implications
  • Leading and executing process and data improvement projects
  • Directing and motivating team to conduct research and analysis to quantify business opportunities and issues- with a goal of developing formal recommendations for presentation to management
  • Identifying key customer satisfaction metrics and driving improvement in performance
  • Influences all levels of an organization to support projects and/or ideas
  • Focus on Automation and Utilizing technology to provide repeatable reporting solutions
  • Analyzes population datasets to load-balance assessments over multi-year periods
Qualifications for data operations
  • Bachelor's Degree in Computer Science/Electrical Engineering
  • Knowledge of computer systems, object-oriented design, data structures and algorithms
  • Familiar with bash scripting
  • 1+ years of experience with Miscrosoft Office Products (Excel, MS Access, etc)
  • Ability to synthesize and present data to client & leaders
  • Knowledge of data distribution systems and processes
3

Data Operations Job Description

Job Description Example
Our growing company is searching for experienced candidates for the position of data operations. 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 data operations
  • Establish relationships with all internal groups, particularly Client Service, so that clients are proactively aware of any data issues
  • Load all market data
  • Identify and implement solutions to improve the quality of all data types
  • Coordinate with stakeholders in News and Product to define and prioritize future work for which Data Strategy will be responsible
  • Respond with urgency to both internal and external inquiries
  • Create requirement documents and markups for developers to code future automated headlines and data tables
  • Ensure assigned projects are completed within budgets and schedules while meeting business objectives
  • Perform system administration for multiple OSIsoft PI ecosystems (Data Archive, Asset framework, Analytics, Coresight, Connectors, and Interfaces)
  • To provide accurate administrative, data and operational support to Sales, Marketing & Customer Management teams
  • To assist in the preparation and production of data & analysis required for business presentations
Qualifications for data operations
  • Intermediate Excel skills (pivot tables, Vlookup, ), Visio, and PowerPoint (PPT)
  • Bachelor’s degree in Statistics, Economics, Operations Research, Finance r Engineering, Computer Science, or related field
  • Experience in database technologies including Big Data / Hadoop (HDFS, MapReduce, Hive, Shark, Spark, ), RDBMS and NoSQL
  • Strong primary expertise as data engineer or data scientist, with the ability to stretch beyond one’s core field of expertise
  • PhD or MA/MS + 2-5 years relevant experience as a strong contributor on a data science team
  • Relevant degree in Statistics, Math / Applied Math, Geo and special analysis, Operations Research, Computer Science, Economics or Quantitative Finance
4

Data Operations Job Description

Job Description Example
Our company is searching for experienced candidates for the position of data operations. 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 operations
  • Ensure special requirement are sent timely to client and relevant parties with 100% accuracy
  • Update SOP and Internal Operation Procedure (IOP) to the latest version as provided by OPS (Client) and maintain the copies (all versions) on shared drive
  • Ensure 100% compliance with provided SOP and/or IOP
  • Inherit the continuous improvement concepts by continuously working to improve productivity targeting to be benchmark for other regions
  • Proactively perform the job aiming at ensuring at least the minimum KPI
  • Assure proper communication with internal and external customers
  • Partnering with Product managers and to a lesser extent, engineering, marketing and sales to identify key questions, issues and hypotheses for data analysis, experiments or predictive models
  • Analyzing large volumes of data to discover meaningful insights and trends that can drive product improvements, generate new product features and deliver sustainable lift
  • Evaluating A/B tests and other experimental data by leveraging advanced statistical or econometric techniques to measure the impact of new product features or predictive models
  • Developing and coding algorithms, pipelines and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources
Qualifications for data operations
  • Programming or programming languages
  • Advanced exposure to operating system or kernel management
  • System Engineering or advanced System Administration
  • Minimum 1-year experience or ability to show familiarity with building, repairing or upgrading hardware components required
  • Proficiency in R, particularly to prototype mathematical models
  • Proficiency with Tableau, R-Shiny /or other data visualization tools
5

Data Operations Job Description

Job Description Example
Our innovative and growing company is hiring for a data operations. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for data operations
  • Inspire front line teams to go beyond the standard “call of duty” to find creative solutions for our product issues
  • Investigate and understand data anomaly
  • Design web-based tools for business process management and automation
  • The Data Operations Engineer II's responsible for the integrity of the production data utilized by SC employees by administering steps required to resolve or escalate issues that may prevent successful completion of scheduled production processes and data transfer to ensure changes to the production environment have been reviewed and authorized
  • Support the data requirements of the different functional teams like Marketing Sales & Service, Quality, and all the regional KPI / Metrics initiatives
  • Supports the daily operational team tasks
  • Analyzes impact of proposed solutions to the business requirements and impact on data integrity
  • Monitors and ensures operating integrity
  • Provides recommendations on systems and business process enhancements
  • Provides operational support and recommendations during testing efforts
Qualifications for data operations
  • Ability to scope and define data sets needed for specific use cases and identifying data gaps
  • Ability to translate scientific insights into product decisions and work streams
  • Flexibility to handle directional changes and moving priorities to ensure project success
  • Travel expected 40-70% of time
  • Work with the Data Scientist to implement strategies for cleaning and preparing data for analysis (e.g., outliers, missing data)
  • Proficiency in full stack web development – HTML, CSS, Javascript, PHP/Ruby

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