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Data Analytics & BI

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Actuarial Analyst, NA Property Pricing AXA · · 79 days ago NEW YORK
$61,100–$101,500 79 days ago
Corporate & Investment Banking Latam Rates/FX Structured Products Analyst Santander · · 79 days ago Madison Ave Corp
$110,000–$135,000 79 days ago
Data Analyst II - Treasury Ebury · · 79 days ago Madrid
Salary TBC 79 days ago
Data Analyst II - Treasury Ebury · · 79 days ago Málaga
Salary TBC 79 days ago
FMCG Customer Success Analytics Intern (6 months- 1 year) NielsenIQ · · 79 days ago Lisbon
€680 79 days ago
Alternant IT - Data analyst H/F Veolia Environnement SA · · 79 days ago Lille
Salary TBC 79 days ago
Product Data Analyst The Guardian · · 79 days ago London
£45,000 79 days ago
Growth Consulting Analyst Spins · · 80 days ago Chicago
$70,000–$80,000 80 days ago
Quantitative Analyst- Founders Office Easyship · · 80 days ago Milan
Salary TBC 80 days ago
Strategic Reporting Analyst Morganmorganjobsapplynow · · 80 days ago Atlanta
$95,000–$110,000 80 days ago
Strategy & Analytics Analyst DaVita · · 80 days ago 05555
$57,784–$85,000 80 days ago
SEND Data Analyst Lambeth Council · · 80 days ago London
£54,360–£57,495 80 days ago
Analyst-Data Intermediate IU Health · · 80 days ago Indianapolis
Salary TBC 80 days ago
Data Product Analyst Supernova Technology™ · · 80 days ago Chicago
$60,000–$80,000 80 days ago
Data Analist - Human Capital AON · · 80 days ago Rotterdam
€3,100–€4,400 80 days ago
Data Analyst II - Regulatory Reporting Ebury · · 80 days ago Madrid
Salary TBC 80 days ago
Director, Payer Contract Analytics - NECS AbbVie · · 80 days ago Mettawa
$160,500–$305,000 80 days ago
Stage – Assistant(e) Data / Support Recrutement H/F ALTEN · · 80 days ago Toulouse
Salary TBC 80 days ago
Business Data Analyst I Redwire Defense Tech · · 80 days ago San Luis Obispo
$66,000–$83,000 80 days ago
Data Analyst & Research Compliance Specialist University Of South Florida · · 80 days ago Tampa
$57,000–$78,000 80 days ago
Manager I Business Intelligence (Consumer Loan Operational Analytics) Navy Federal Credit Union · · 80 days ago Vienna
$111,600–$163,100 80 days ago
Sr. Manager, Talent Analytics Marriott · · 80 days ago Bethesda
$110,400–$177,000 80 days ago
231 Senior Healthcare Data Analyst - Claims Dataspace · · 80 days ago New York
$105,000–$120,000 80 days ago
Director, Data & Analytics - FL Health Plan (REMOTE) Molina Healthcare · · 80 days ago Long Beach
Salary TBC 80 days ago
Business Intelligence Analyst, Consumer Data Co Op · · 80 days ago Saskatoon
Salary TBC 80 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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