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Data Analytics & BI

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Senior Analyst, Analytics Tamaragroup · · 69 days ago New York
$75,000–$90,000 69 days ago
Senior Analyst Engineer - Intelligence Management Feedzai · · 69 days ago Portugal
Salary TBC 69 days ago
Senior Business Analyst Lendingtree · · 69 days ago Charlotte
$105,000–$115,000 69 days ago
Data Analyst(P2),Data Business Partner【アクサ生命】 AXA · · 69 days ago MINATO-KU
Salary TBC 69 days ago
Business Analyst II - AMZ15546.6 Amazon · · 69 days ago Austin
$114,472–$130,100 69 days ago
Sr. Specialist, Pricing Automation & AI Enablement Vertiv · · 69 days ago Westerville
Salary TBC 69 days ago
Data Analyst - Poland Tickmill · · 69 days ago Warsaw
Salary TBC 69 days ago
Data Analytics & Business Intelligence Manager Casa Esperanza · · 69 days ago Malden
$85,000–$90,000 69 days ago
Research Data Analyst UCSF · · 69 days ago San Francisco
Salary TBC 69 days ago
Digital Analytics Manager Co Op · · 69 days ago Manchester
£55,000–£65,000 69 days ago
Lead Web Analyst - Marketing Next Plc · · 69 days ago Leicester
Salary TBC 69 days ago
Early Career Project Controls Data Analyst WSP · · 69 days ago Sunrise
$65,600–$96,000 69 days ago
Business Data Analyst Arcadis · · 69 days ago Austin
$80,000–$105,000 69 days ago
Quant Analytics Senior associate JPMorgan Chase & Co. · · 69 days ago Wilmington
$104,500–$150,000 69 days ago
Senior Specialist, Client Service Data Insights & Analytics BNY Mellon · · 69 days ago New York
$59,000–$114,000 69 days ago
Director - Amex Offers Digital Media Data Analytics American Express · · 69 days ago New York
$144,200–$256,200 69 days ago
Senior Product Analyst NMDP · · 69 days ago Minneapolis
$80,000–$100,000 69 days ago
Data Analyst Jewish Vocational Service (JVS) · · 69 days ago San Francisco
$88,000–$95,500 69 days ago
Sr. Analyst - Healthcare Analytics Valenz · · 69 days ago Phoenix
Salary TBC 69 days ago
CDI - HR Data & AI Analyst REXEL · · 69 days ago Paris
Salary TBC 69 days ago
(Senior) Manager SAP Analytics Cloud (m/w/d) Thalia Bücher GmbH · · 69 days ago Hagen
Salary TBC 69 days ago
(Senior) Manager SAP Analytics Cloud (m/w/d) Thalia Bücher GmbH · · 69 days ago Münster
Salary TBC 69 days ago
Data Director- Ketchapp Ubisoft · · 69 days ago Saint-Mandé
Salary TBC 69 days ago
Data Analyste Pricing H/F Groupement Mousquetaires · · 69 days ago Vert-le-Grand
Salary TBC 69 days ago
Business Intelligence Engineer, PXT, AWS Region Services Amazon · · 69 days ago Arlington
$99,500–$160,000 69 days ago

Explore Data Analytics & BI Jobs

Business analysts, BI developers, analytics engineers

Data analytics is the practice of collecting, transforming and organising data so that organisations can draw conclusions, make predictions and have the information they need to drive decision-making. Data analysis is not the same thing, but instead is a subcategory of data analytics: it deals specifically with extracting meaning from data. As a whole, though, data analytics goes beyond just analysis and includes data science and engineering.

Business analysts work within an organisation to bridge their business needs and their available technology solutions to those needs. They look at processes, learn about the functional requirements of different stakeholders and come up with data driven strategies to improve performance. They make sure that technical teams are building the right things to solve specific problems. Business analysts carry out interviews and workshops, documenting user stories and specifications. They creat flowcharts to get a sense of current workflows and think about how to improve them. They carry out data analysis, looking at performance metrics and trends. They engage in stakeholder management, explaining the risks and benefits of processes, technologies and procedures to both developers and organisational leaders. They assist with User Acceptance Testing (UAT) so that they can be sure solutions function properly before they are launched.

Business intelligence (BI) developers are data professionals who transform raw information into insights that organisations can use to make decisions. They are responsible for designing and maintaining data pipelines, models and visualisation dashboards. They structure the data so it can be easily retrieved, and make sure that visuals are interactive and accessible, and form useful reports. They develop Extracting, Transforming and Loading processes that get data from different sources into a centralised warehouse. They also deal with data governance, and manage permissions and data security.

Analytics engineers are the intersection between data engineers who build the pipelines and the data analysts who visualise insights. They take raw data which can be messy and hard to interpret, and transform it into clean, reliable and standardised data models that can be used for reporting.

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