Hire Data Analytics Developer

Data Analytics

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Data Analytics
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Hire Data Analytics Developers and Engineers

Krishna N., Data Analytics Developer

- About 6 years of experience in Data Engineering - Upper-Intermediate English. - Available ASAP.

Data Analytics

Data Analytics

Machine Learning Algorithms

Machine Learning Algorithms   6 yr.

Python

Python   6 yr.

NLP

NLP   6 yr.

DEDI N., Data Analytics Developer

- Highly skilled Business Analyst with more than 10 years of Banking experience; - Strong skills with Data in banking and financial projects; - Has the ability to understand business needs and provide an effective and appropriate solution; - Capable of analyzing a wide range of business needs in the banking and financial industries; - Experience working as a financial industry tutor; - Strong communication skills; - English: Upper-Intermediate.

Data Analytics

Data Analytics

Business Analysis

Business Analysis

Financial Services

Financial Services

Microsoft Office

Microsoft Office

Only 3 Steps to Hire Data Analytics Developer

1
Talk to Our Data Analytics Talent Expert
Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
2
Meet Carefully Matched Data Analytics Talents
Within 1-3 days, we’ll share profiles and connect you with the right Data Analytics talents for your project. Schedule a call to meet engineers in person.
3
Validate Your Choice
Bring new Data Analytics expert on board with a trial period to confirm you hire the right one. There are no termination fees or hidden costs.

Welcome on Upstaff: The best site to hire Data Analytics Developer

Yaroslav Kuntsevych
Upstaff.com was launched in 2019, addressing software service companies, startups and ISVs, increasingly varying and evolving needs for qualified software engineers

Yaroslav Kuntsevych

CEO
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FAQs on Data Analytics Development

What is a Data Analytics Developer? Arrow

A Data Analytics Developer is a specialist in the Data Analytics framework/language, focusing on developing applications or systems that require expertise in this particular technology.

Why should I hire a Data Analytics Developer through Upstaff.com? Arrow

Hiring through Upstaff.com gives you access to a curated pool of pre-screened Data Analytics Developers, ensuring you find the right talent quickly and efficiently.

How do I know if a Data Analytics Developer is right for my project? Arrow

If your project involves developing applications or systems that rely heavily on Data Analytics, then hiring a Data Analytics Developer would be essential.

How does the hiring process work on Upstaff.com? Arrow

Post Your Job: Provide details about your project.
Review Candidates: Access profiles of qualified Data Analytics Developers.
Interview: Evaluate candidates through interviews.
Hire: Choose the best fit for your project.

What is the cost of hiring a Data Analytics Developer? Arrow

The cost depends on factors like experience and project scope, but Upstaff.com offers competitive rates and flexible pricing options.

Can I hire Data Analytics Developers on a part-time or project-based basis? Arrow

Yes, Upstaff.com allows you to hire Data Analytics Developers on both a part-time and project-based basis, depending on your needs.

What are the qualifications of Data Analytics Developers on Upstaff.com? Arrow

All developers undergo a strict vetting process to ensure they meet our high standards of expertise and professionalism.

How do I manage a Data Analytics Developer once hired? Arrow

Upstaff.com offers tools and resources to help you manage your developer effectively, including communication platforms and project tracking tools.

What support does Upstaff.com offer during the hiring process? Arrow

Upstaff.com provides ongoing support, including help with onboarding, and expert advice to ensure you make the right hire.

Can I replace a Data Analytics Developer if they are not meeting expectations? Arrow

Yes, Upstaff.com allows you to replace a developer if they are not meeting your expectations, ensuring you get the right fit for your project.

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Table of Contents

How and where is Data Analytics used?

How and where
  • Financial Analysis: Detecting fraud
  • Healthcare Management: Predictive analytics in patient care
  • Retail Optimization: Customer segmentation for targeted marketing
  • Social Media Monitoring: Sentiment analysis for brand reputation
  • Supply Chain Efficiency: Inventory forecasting to reduce costs
  • Energy Consumption: Smart grid analytics for resource optimization
  • Sports Performance: Player tracking for performance enhancement
  • Cybersecurity: Anomaly detection for threat identification
  • Travel Industry: Personalized recommendations for travelers
  • Telecommunications: Network traffic analysis for improving services

Compare Junior, Middle, Senior, and Expert/Team Lead Data Analytics Developer roles

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior1-3 years
  • Assist in data collection
  • Basic data analysis
  • Report generation
$50,000
Middle4-6 years
  • Develop data models
  • Statistical analysis
  • Database management
$70,000
Senior7-10 years
  • Lead data projects
  • Advanced analytics
  • Mentor junior developers
$90,000
Expert/Team Lead10+ years
  • Strategic planning
  • Team management
  • Drive innovation
$120,000

Quick Facts about Data Analytics.

Facts about
  • Data Analytics Software Development was born in the year 1962.
  • The most popular project types using this technology are business intelligence and predictive analytics.
  • The entry threshold for mastering this technology is having a basic understanding of statistics and programming.
  • The most popular related technology to Data Analytics Software Development is Machine Learning.
  • Fun Fact: Data Analytics can help predict customer behavior better than a fortune teller with a crystal ball!

TOP Data Analytics Related Technologies

Related Technologies
  1. Python (Guido van Rossum, 1991)
  2. R (Ross Ihaka and Robert Gentleman, 1993)
  3. Java (Sun Microsystems, 1995)
  4. SQL (Donald D. Chamberlin, Raymond F. Boyce, 1974)
  5. SAS (Jim Goodnight, John Sall, 1976)

What are top Data Analytics instruments and tools?

Instruments and tools
  • Tableau: Data visualization tool by Tableau Software, released in 2003.
  • Google Analytics: Web analytics service by Google, released in 2005.
  • Power BI: Business analytics tool by Microsoft, released in 2014.
  • SAS: Business intelligence and analytics software by SAS Institute, released in 1966.
  • QlikView: Business discovery platform by Qlik, released in 1993.

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