Hire Data Analytics Developer

Data Analytics
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Data Analytics
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Grid Layout Row Layout
Machine Learning Algorithms 6yr.
Python 6yr.
NLP 6yr.
SQL 6yr.
Machine Learning Frameworks 6yr.
Deep Learning 5yr.
Keras 4yr.
Keras 4yr.
Signal processing 3yr.
PyTorch 2yr.
PyTorch 2yr.
R 1yr.
PySpark 1yr.
Beautiful Soup
Flask
Matplotlib
NLTK
NumPy
Pandas
Plotly
Scikit-learn
SciPy
Seaborn
TensorFlow
D3.js
Shiny
NumPy
Scikit-learn
Spacy
TensorFlow
Azure
GCP (Google Cloud Platform)
Azure
Agile
Scrum
BitBucket
Git
SourceTree
Jira
RESTful API
Anomaly detection
Data Analytics
Data Visualization Tools
Gensim
Predictive Analytics
Statistical modeling
Statsmodels
Superset
Time series analysis
...

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

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Seniority Senior (5-10 years)
Location India
Business Analysis
Financial Services
Microsoft Office
CSS
HTML
Requirements Analysis
Adobe Photoshop
Agile
BEM
Data Analytics
Documentation
Electronic Data Capture (EDC)
My Requests65
Project Planning
Risk Management
Sales Tool Kit
...

- 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.

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Seniority Senior (5-10 years)
Location Jakarta, Indonesia

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Manager
Maria Lapko
Global Partnership Manager
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Trusted by Businesses
Accenture
SpiralScout
Valtech
Unisoft
Diceus
Ciklum
Infopulse
Adidas
Proxet
Accenture
SpiralScout
Valtech
Unisoft
Diceus
Ciklum
Infopulse
Adidas
Proxet

Want to hire Data Analytics developer? Then you should know!

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How and where is Data Analytics used?

  • 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.

  • 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

  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?

  • 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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Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
Manager
Maria Lapko
Global Partnership Manager

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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.