Data Specialist Job Description
Job summary 1
We seek a full-time Data Specialist to assist in the development and implementation of data systems and strategies. The Data Specialist will be a highly detail-oriented person with strong computer skills who is committed to high-quality, accurate, and useful data. They will have excellent customer service and communication skills, including the ability to provide engaging training and helpful troubleshooting for staff. They will be proactive in seeking new ways to advance the Data Team’s goals of demonstrating the Company’s impact, saving staff time, building real-time analysis tools, and strengthening the data and tech culture at the Company.
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Job summary 2
We are looking for an analytical, strategic, and detailed oriented individual like you to join our team as a Data Specialist. This position will manage the data needs required for the process and quality improvement activities. This includes working closely with quality leaders and project managers on data entry, reporting, and analysis of data as it pertains to operations and quality.
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We are looking for a talented Data Specialist to provide data support to our internal teams. In this role you will be responsible for collating and verifying data from multiple sources, assisting with data cleanup efforts, and decreasing duplicate records across our core Salesforce.com system. To be successful as a data specialist, you should have a good eye for details, enjoy solving the puzzle of merging duplicate records and have a meticulous approach to information verification.
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The Data Specialist collects, analyzes, abstracts, and reports on clinical data using information technologies to support clinical processes and departmental/organizational initiatives.
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The Data Specialist collects and accurately documents specified data metrics into an electronic data system in a timely and efficient manner.
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Under supervision, the Data Specialist collects, organizes, maintains, and analyzes data required for medical outcome audits and operational monitoring activities. They prepare reports, identify missing or incomplete data, and follow up.
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The Data Specialist is responsible for abstracting pertinent health information from participants’ medical records; entering abstracted information into study data collection tools; working with the staff of the medical records department of various healthcare facilities to obtain medical records; redacts and uploading medical records onto a study website.
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The Data Specialist is responsible for the ongoing maintenance of the data templates. This includes establishing new templates, modifying existing templates, and establishing correct services at the vendor level, including alias changes. As time permits, assist with data clean-up efforts.
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The Data Specialist assists the Director, of Data Management, and Performance Improvement with data collection, management, optimization, and process improvement; works in collaboration with the Operations leadership team. The Data Specialist supports the development and maintenance of dashboards department performance tracking, data optimization projects, reporting on progress, and insights to inform quality improvement. This position will run queries, and other methods to analyze, compile, and present data in understandable formats for internal management and organization use. The Data Specialist will utilize various platforms, including the case management solution (Salesforce), and the organization’s strategic performance management system to support the Operation’s department in meeting Company’s data-driven goals.
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This Data Specialist opportunity introduces candidates to best practices that focus on verifying client requests, and quality-checking database loads and deliverables while using applications like Relativity and copying and encryption software.
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Frequently asked questions
What does a data specialist do?
A data specialist, also known as a data analyst or data management specialist, is a professional who specializes in managing and analyzing data within an organization. They work with various types of data, including customer data, operational data, financial data, and more. Here are some key responsibilities and tasks of a data specialist:
Data Collection and Integration: Data specialists collect and aggregate data from various sources within the organization. They ensure the accuracy and reliability of the data by verifying its quality, resolving inconsistencies, and integrating disparate data sets into a unified format.
Data Cleaning and Validation: They clean and validate data to ensure its integrity and reliability. Data specialists identify and rectify errors, remove duplicate entries, and perform data transformations to improve data quality and consistency.
Data Analysis and Reporting: Data specialists analyze data to extract meaningful insights and provide valuable information to stakeholders. They use statistical techniques, data mining, and data visualization tools to identify patterns, trends, and correlations in the data. They create reports, dashboards, and visual representations to communicate findings effectively.
Data Modeling and Database Design: They design and develop data models and database structures to facilitate efficient data storage and retrieval. Data specialists work with database management systems to create tables, define relationships, and optimize data storage for ease of access and query performance.
Data Governance and Compliance: Data specialists ensure compliance with data governance policies and regulations. They establish data security measures, implement access controls, and maintain data privacy and confidentiality in accordance with legal and industry standards.
Data Quality Assurance: They implement processes and procedures to ensure data quality and integrity. Data specialists perform regular data audits, validate data against predefined criteria, and identify and address data quality issues to maintain accurate and reliable data.
Data Documentation and Metadata Management: They document data sources, data dictionaries, and data lineage to provide clear and comprehensive descriptions of the data. Data specialists manage metadata, such as data definitions, data classifications, and data ownership, to enhance data discoverability and facilitate data governance.
Data Collaboration and Communication: Data specialists collaborate with other teams and stakeholders to understand data requirements, gather insights, and deliver actionable information. They communicate findings, explain data analysis methodologies, and provide data-driven recommendations to support decision-making processes.
Data Strategy and Planning: They contribute to the development of data strategies and plans within the organization. Data specialists assess data needs, recommend data management tools and technologies, and assist in defining data-related goals and objectives.
Continuous Learning and Skill Development: Data specialists stay updated on emerging trends, technologies, and best practices in data management and analysis. They continuously enhance their skills and knowledge to effectively leverage new tools and techniques for improved data management and analysis.
The role of a data specialist may vary depending on the organization and industry. However, their main focus is on managing, analyzing, and deriving insights from data to support decision-making, improve business processes, and drive organizational success.
What skills does a data specialist need?
A data specialist requires a combination of technical and analytical skills to effectively manage and analyze data within an organization. Here are some key skills that are important for a data specialist:
Data Analysis: Data specialists should possess strong data analysis skills to extract insights and identify trends from large datasets. They should be proficient in using statistical techniques, data mining methods, and data visualization tools to interpret data and communicate findings effectively.
Data Manipulation: They should be skilled in manipulating and transforming data using programming languages or tools such as SQL, Python, R, or Excel. Data specialists should be able to clean, validate, and format data for analysis and reporting purposes.
Database Management: Proficiency in database management systems (DBMS) is essential for data specialists. They should be familiar with designing database structures, creating tables, defining relationships, and optimizing queries for efficient data retrieval.
Data Visualization: Data specialists should be able to create meaningful and visually appealing data visualizations such as charts, graphs, and dashboards. Proficiency in tools like Tableau, Power BI, or other data visualization software is valuable for presenting data insights in a clear and intuitive manner.
Statistical Analysis: Knowledge of statistical analysis techniques is important for data specialists. They should be able to apply statistical methods such as regression analysis, hypothesis testing, and clustering to gain insights from data and support decision-making processes.
Data Quality Assurance: Data specialists should have a strong focus on data quality. They should possess skills in data cleansing, validation, and quality assurance techniques to ensure accuracy, consistency, and completeness of data.
Data Governance and Compliance: Understanding data governance principles and compliance requirements is crucial for data specialists. They should have knowledge of data privacy regulations, data security practices, and the ability to implement appropriate measures to ensure data governance and compliance.
Problem-Solving: Data specialists should possess strong problem-solving skills to identify data-related issues, troubleshoot problems, and develop solutions. They should be able to analyze complex data problems and recommend effective strategies for data management and analysis.
Communication Skills: Effective communication skills are essential for data specialists. They should be able to translate complex technical concepts into understandable terms, present data insights clearly to non-technical stakeholders, and collaborate with team members to gather data requirements and understand business needs.
Continuous Learning: Data specialists should have a mindset of continuous learning and stay updated on emerging trends, tools, and techniques in data management and analysis. They should be proactive in acquiring new skills, exploring innovative approaches, and adapting to evolving technologies in the field of data analytics.
These skills, when combined with a curiosity for data exploration, attention to detail, and a strong analytical mindset, enable data specialists to effectively manage and analyze data to derive valuable insights and support informed decision-making within an organization.