Data Analyst Job Description template and pdf with duties [2024]

Job summary 1

The position relies on good judgment, experience, and guidance to perform analytical and technical functions to analyze and interpret data. The role requires a broad degree of knowledge and problem solving skills. The Data Analyst will serve as a data developer resource, should have knowledge of data analysis tools, data profiling techniques and computer systems technology. This position will work closely with the Data Architect to develop technical requirements and comprehensive solutions to extract data from multiple source systems or models, transform data according to Business Rules and Master Data Management, work with the Acquisitions team to assure attributes are properly governed and also loaded into operational and presentation models. The ideal candidate will have experience collecting user requirements, data analysis, documenting technical specifications, understand core data characteristics, and have experience working work with life insurance and annuity data. This role is expected to support and expand a culture of operational excellence. The ability to understand complex problems, logical problem solving skills, and strong written and verbal communication skills are required. Additionally, a strong understanding of database methodology, data analysis, and reporting technologies are required.

Duties & Responsibilities 1

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Requirements & Skills 1

Job summary 2

The Data Analyst is responsible for data entry and maintenance for enterprise system. As part of the team, this position is responsible for the accurate entry of data into system. The Data Analyst is responsible for the efficient and effective management of part master data. This will require an individual with exceptional attention to detail, intermediate to advanced computer skills, in-depth knowledge of our business, products and processes.

Duties & Responsibilities 2

Requirements & Skills 2

Job summary 3

The Data Analyst provides actionable insights to both external customers and internal teams. For external customers monitors our optimization platform, designs Real-time Brand Optimization surveys, introduces humanly designed segments to boost model exploration and learning, and delivers actionable insight presentations and lead marketing strategy discussions with clients. For internal teams, The Data Analyst provides feedback to our teams on automation and model features to advance the reliability, reach, and effectiveness of programmatic campaigns.

Duties & Responsibilities 3

Own campaign performance and reporting insights while recommending opportunities for optimization.
Weekly review of performance of models across revenue, performance, and pacing.
Design and implement tests to evaluate model and feature performance.
Work with clients to understand key business challenges and design analytic and testing plans to derive actionable intelligence.
Work with clients and internal teams to create real-time brand optimization studies that align with campaign goals, but also create strong, clear signals that our models can use to optimize campaign delivery and performance.
- Consult with clients regarding development & alignment of marketing programs across on-line channels.
- Determine set-up, including testing methodologies, reporting requirements, and optimization modeling requirements, for ensuring full impact and efficiency of optimization efforts.
- Communicate campaign optimization results to clients to prove value against original business goals.

Requirements & Skills 3

Job summary 4

We are seeking a Data Analyst to mine our large-scale data sets. The Data Analyst will be responsible for analysis, design, and development of Cross-Platform audience measurement products. His work will have a direct impact on driving business strategies for prominent industry leaders.

Duties & Responsibilities 4

Utilize SQL, Python, as well as Hadoop, Scala, Spark, and many other tools for various projects
Work with Product Management on what problems to tackle and collaborate with Data Science and Core Processing Engineering/Operations teams to create solutions
- Design prototype solutions for data processing and methodologyDrive analytical projects that span across multiple teams and functions
- Build, test new features and concepts and integrate into production process
- Participate in ongoing research and evaluation of new technologies

Requirements & Skills 4

Job summary 5

The Data Analyst will be part of our team, which serves multiple departments and business units for their analytical and business intelligence needs. The Analytics team works closely with business and technical teams, overseeing data structures and quality while also ensuring that data is properly leveraged to inform business decisions. The Data Analyst will work with various departments to understand their analytical questions, then collect, manipulate, and analyze data from different sources using a variety of techniques - ranging from simple data aggregation to complex data mining. S/he will interpret & present analytical results to different business stakeholders.

Duties & Responsibilities 5

Support the business on general analysis and strategic projects; meet with stakeholders to understand analytical needs and define metrics/KPIs/reports
Ensure on-time & accurate delivery of regular KPIs, reports and forecasts
Perform data analysis on user behavior to inform product features
Maintain deep and up-to-date knowledge of the data warehouse; troubleshoot data inconsistencies
Translate business needs into analytical tasks, documenting & presenting results
- Build and maintain dashboards to track product usage and performance
- Interpret results using a variety of techniques, ranging from simple exploratory data analysis to statistical modeling
- Demonstrate a level of independence in driving analysis

Requirements & Skills 5

A minimum of 4 years of professional work experience outside of academic schooling
Analytically oriented with ability to interpret trends and correlations
Strong knowledge of database & data warehousing concepts
Experience writing complex SQL queries
Knowledge of A/B testing and statistical principles (e.g. regression)
- Experience with R, Python, or related programming language
- Microsoft Excel proficiency, including pivot tables, look up functions and charts
- Experience with Tableau or other reporting/BI tools

Job summary 6

Responsible for working with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies. Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes. Responsible for documenting data requirements, data collection/processing/cleaning, and exploratory data analysis; which may include utilizing statistical models/algorithms and data visualization techniques.

Duties & Responsibilities 6

Day-to-day actions are focused on administering defined procedures, analysis and report preparation.
Commands knowledge of data elements across the enterprise and industry – definitions, lineage and usage
Executes creation of tabular operational reports and aggregation reports with medium to high complexity.
Commands intermediate to expert level t-SQL coding proficiency
Performs data mapping for systems integration, data provisioning, and data consumption
Responsible for documenting metadata, data lineage, data definitions and business glossary entries.
- Handles basic data transformation tasks such as date and decimal formatting, rounding of numeric values, and conversion of numeric values to percentages.
- Has intermediate to expert level SSIS ETL build proficiency
- Works with Data stewards to enforce adherence to standards for enhancements and new repositories.

Requirements & Skills 6

Experienced professional with relevant and current skills (3-5 years).
Primary focus is on daily deliverable of routine and defined outputs, while at the same time developing knowledge of the broader context in which the work is being performed.
Bachelor’s degree in computer science, finance, mathematics, statistics (or similar) or equivalent work experience

Job summary 7

The ideal Data Analyst will have experience collecting user requirements, data analysis, documenting technical specifications, and understand core data characteristics. You will need strong skills in SQL, BI Reporting and Data Visualization, and ETL experience.

Duties & Responsibilities 7

Map data sources while supporting, tracking, analyzing and evaluating marketing campaigns, assessing effectiveness and profitability as it relates to the data of the business.
Create data processes that add value to the core business as well as assisting with development of new products and services.
Research data requests to determine availability, sourcing and fulfillment options
Identifying patterns and help the business react to changing business conditions
- Identify data anomalies and work with data analysts in other units to develop policies and best practices, while performing root cause analysis on data quality issues.
- Monitor the state of data quality within their scope of responsibility, while working toward established goals for data quality improvement.
- Identify the best approaches for resolving data quality issues and builds business case for new products, service models, and approaches.

Requirements & Skills 7

Bachelor’s degree in math, science or business or equivalent certifications / experience required.
4+ years of strong reporting and data visualization experience with SQL, SSIS, SSRS
Experience using Google BigQuery for OLAP and data “wrangling”
Metabase and Google Data Studio for reporting and visualization, as well as Stitch for ETL.
- ETL pipelines and data warehousing experience
- Experience working on a project team using Agile SDLC methodologies
- Firm understanding of data modeling techniques or exposure to Python, R, Scala or other statistic modeling a big plus!

Job summary 8

We’re seeking a Data Analyst on our Data Science team who will work closely with our Business Development team to extract valuable, actionable insights for our clients. The work that the Data Analyst does will help both internal and external teams better understand performance and identify strategic opportunities for improvement.

Duties & Responsibilities 8

Identify data-driven insights and recommendations that help our clients improve their existing operational processes and understanding of their donor populations.
Present and clearly communicate data findings and underlying methodology to internal teams and external clients through dashboards and visualizations.
Help develop and standardize methods and processes with which the Data Science team can scale and enable internal teams to gain access to data insights.
- Perform ad hoc analysis of our client facing systemic issues and answer questions that lead to a solution.
- Build dashboards that enable data democratization and empower teammates to monitor key metrics
- Have a direct and profound effect on a data-driven organization.

Requirements & Skills 8

3+ years’ experience in an analytical role
Strong organizational, time management, and presentation skills
Demonstrates a passion for breaking down and understanding complex systems
Ability to effectively communicate across business stakeholders
Degree in a quantitative field and 3+ years of experience in data analytics
Strong SQL skills and knowledge of relational databases
- Experience in Python or other scripting languages
- Proficiency with business intelligence tools
- Strong knowledge of ETL processes

Job summary 9

You are an experienced Data Analyst with a track record of extracting insights and actionable information from structured data. You have built dashboards for daily review, summarized results for executive stakeholders, and explained nuanced findings for non-technical audiences. You work with diverse teams who come to you with half-formed problems to refine their needs into answerable questions, answer those questions, and work with them until they understand the implications.

Duties & Responsibilities 9

Build dashboards using business intelligence software on large relational databases, both customer-facing and for internal customers
Develop, support, and optimize semantic data layers used for self-service reporting
Perform ad-hoc analyses for stakeholders on a variety of teams, including product, marketing, and engineering
Collaborate with product and engineering to ensure that the requisite data is being collected to answer questions, drive business decisions, and inform the market
Inform schema design and ETL process decision making
- Improve the end user’s experience through documentation, webinars, and hands-on training
- Support administration of our business intelligence software
- Investigate data integrity issues and propose solutions

Requirements & Skills 9

3+ year of data analysis or analytics experience
Great understanding of SQL
- Experience with web-based business intelligence tools such as Looker, Tableau, Chartio, or similar
- Strong communication skills
- Bonus points for some scripting skills, such as using Python or R for data analysis

Job summary 10

You will be a key member of the Analyticsteam, and contribute to the analytics product life-cycle of strategy, design, development, test and delivery of data-driven algorithms and techniques to further optimize the product offerings. As a part of this team, you will collaborate on driving consumer focused solutions across personalized promotion, media and advertisement recommendations, targeting and insights.

Duties & Responsibilities 10

Identify and assess key opportunity areas where data and science can enhance products.
Develop detailed plans for achieving desired product goals, including impact assessment.
Devise, develop, test and deploy new data models
- Effectively engage and partner with other product teams, engineering, and sales to drive the implementation of your models and make an impact.
- Actively influence product road maps to drive higher monetization and optimization.
- Drive the production of analytic capabilities in data management, modeling and algorithms

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