Big Data Analyst + Kafka

Programmers.io; Dallas (TX); On-site; USD 60,000 - 80,000; Full time

Job summary

A well-known tech firm in Dallas is seeking a Mid-Senior level Big Data Analyst to join their data-driven team. The role involves analyzing large datasets and employing big data technologies like Hadoop and Kafka to provide insights that drive strategic decisions. The ideal candidate will collaborate with various stakeholders, ensuring data quality and compliance while developing actionable intelligence. This position offers a full-time contract and competitive salary.

Qualifications

• Analyze large datasets to uncover insights.
• Utilize big data tools to process diverse data sources.
• Develop dashboards and visualizations for stakeholders.

Responsibilities

• Collect and analyze structured and unstructured data.
• Collaborate with teams for data analytics solutions.
• Ensure data privacy and security compliance.

Skills

Data analysis

Big data tools

Collaboration

Statistical methods

Tools

Hadoop

Spark

Kafka

NoSQL databases

Job description

Direct message the job poster from Programmers.io

Employment Type – FTE

Job Description:

Data Analyst + Kafka

We are seeking a highly skilled Big Data Analyst to join our data-driven team.

The ideal candidate will be responsible for analyzing large datasets to uncover insights, trends, and opportunities that support strategic decision-making across the organization.

You will work closely with data engineers, data scientists, and business stakeholders to transform raw data into actionable intelligence.

Key Responsibilities :

- Collect, process, and analyze large volumes of structured and unstructured data from diverse sources.

- Utilize big data tools and technologies such as Hadoop, Spark, Kafka, and NoSQL databases.

- Develop and maintain dashboards, reports, and data visualizations to communicate findings to stakeholders.

- Collaborate with cross-functional teams to understand business requirements and translate them into data analytics solutions.

- Identify data quality issues and work with engineering teams to resolve them.

- Apply statistical methods and predictive analytics to generate insights and support business forecasting.

- Conduct root cause analysis of business problems using data.

- Continuously optimize data analysis processes and implement automation where possible.

- Stay updated with industry trends and emerging big data technologies to recommend improvements.

- Support data governance and compliance efforts by ensuring data privacy and security protocols.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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