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Data Analyst
Infosys Dallas, TX
$91k-119k (estimate)
Full Time | IT Outsourcing & Consulting 1 Week Ago
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Infosys is Hiring a Data Analyst Near Dallas, TX

Infosys is seeking a Data Analyst with machine learning and Python experience. You will work on productionizing machine learning models and guide development team for implementing end to end machine learning use case. They will define end to end architecture of Data Science and machine learning project along with being the technology architect. The candidate will provide technology consulting for defining right Data Science and ML use cases.
Basic Qualification :
  • Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
  • At least 3 years of experience with Information Technology
  • Candidate must be located within commuting distance of Richardson, TX, or Dallas, TX, or be willing to relocate. This position may require travel.
  • U.S. citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time.
Required:
  • At least 3 years of NLP analysis skills, software engineering or systems analysis experience preferred
  • Programming – Python, R
  • Machine Learning – strong fundamentals in machine learning
  • Deep Learning – experience with CNNs, RNN, LSTMs and the latest research trends
  • Experience with Lean / Agile development methodologies
  • 3 years of hands on experience with more than one programming language; Python, R, Scala, Java, SQL
  • Prior experience in Azure chatbot /DialogFlow/ Alexa/ RASA/ Amazon Lex
  • Strong programming skills, strong IT background
  • Shipped one or more machine learning based products.
  • Experience with data gathering, data quality, system architecture, coding best practices
  • Big Data Experience strongly preferred – HDFS, Hive, Spark, Scala
  • Experience with perception (e.g. computer vision), time series data (e.g. text analysis)
  • Data visualization tools such as Tableau, Query languages such as SQL, Hive
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Experience and desire to work in a Global delivery environment
About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in 50 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. To learn more about Infosys and see our ideas in action please visit us at www.Infosys.com
Infosys is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.

Job Summary

JOB TYPE

Full Time

INDUSTRY

IT Outsourcing & Consulting

SALARY

$91k-119k (estimate)

POST DATE

05/13/2024

EXPIRATION DATE

05/23/2024

WEBSITE

fontis.com.au

SIZE

200 - 500

FOUNDED

2006

CEO

PRAVIN UDHYAVARA BHADYA RAO

REVENUE

$10B - $50B

INDUSTRY

IT Outsourcing & Consulting

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The following is the career advancement route for Data Analyst positions, which can be used as a reference in future career path planning. As a Data Analyst, it can be promoted into senior positions as a Data Analyst IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Analyst. You can explore the career advancement for a Data Analyst below and select your interested title to get hiring information.

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If you are interested in becoming a Data Analyst, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Analyst for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Analyst job description and responsibilities

A data analyst also helps the business use the present data to make better business decisions and deliver better services to consumers.

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Their role will be like to work on collaborative, multidisciplinary teams with leaders where they can review and analyze data and to develop the presentation for the data consumption across the organization.

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Data analysts work constantly with stakeholders, fellow colleagues and data suppliers, so good communication skills are essential.

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Many data analysts are required to create presentations of their findings to share with stakeholders and other key members of an organization.

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Gathered requirements, analyze data and create functional/technical specifications to functionality required by new business rules, regulations or standards change.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Analyst jobs

Data analysts typically work with existing data to solve defined business problems.

02/20/2022: Laramie, WY

Data analysts rely on various tools to collect and make sense of their data.

01/17/2022: Melbourne, FL

Banks and financial firms need data analysts for financial reporting and forecasting.

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Data analysts often work directly with more senior data team members like data scientists or data engineers.

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Predictive analysis refers to a data analyst's ability to use data, machine learning and statistical algorithms to predict the likelihood of future outcomes based on previous historical data.

02/26/2022: Las Vegas, NV

Step 3: View the best colleges and universities for Data Analyst.

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