Operations Analyst looking to transition into Big Data Analyst

Campus4Tech; United States; On-site; USD 55,000 - 80,000; Full time

Job summary

A leading company in staffing and recruiting seeks an Operations Analyst transitioning into a Big Data Analyst role. This position involves collecting and processing large volumes of data, employing statistical techniques for analysis, and maintaining data pipelines. Ideal candidates will have a strong background in data processing and visualization tools, and a Bachelor's degree in a related field. Join us to be part of innovative data solutions and drive business success.

Benefits

Flexible working hours

Health insurance

Professional development opportunities

Qualifications

• Bachelor’s degree in Data Science or relevant field required.
• Experience in data processing and visualization tools essential.
• Familiarity with statistical techniques and machine learning.

Responsibilities

• Collect and process structured and unstructured data from various sources.
• Apply statistical techniques to analyze datasets and uncover insights.
• Build and maintain scalable data pipelines and create interactive dashboards.

Skills

Data Processing

Data Analysis

Statistical Techniques

Machine Learning

Data Visualization

Data Pipelines

Data Security

Education

Bachelor's Degree in Data Science or related field

Tools

Apache Spark

Tableau

Power BI

Apache Kafka

Hadoop HDFS

Job description

Operations Analyst looking to transition into Big Data Analyst

Join to apply for the Operations Analyst looking to transition into Big Data Analyst role at Campus4Tech

Operations Analyst looking to transition into Big Data Analyst

Join to apply for the Operations Analyst looking to transition into Big Data Analyst role at Campus4Tech

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Pay Rate: $55 - $80/hr

Travel: Not Required

Who Should Apply?

• Operations Coordinator, Documentation Analyst, Sales Analyst, Social Media Analyst, Supply Chain, Research Analyst, System Analyst
• Professionals returning to the workforce
• Individuals from different lines of business and diverse backgrounds

Responsibilities:

• Responsible for collecting, ingesting, and processing large volumes of structured and unstructured data from various sources such as APIs, web logs, IoT devices, and databases. They clean, normalize, and transform raw data using tools like Apache Spark, Hive, or Python to prepare it for analysis.
• By applying statistical and machine learning techniques, they analyze massive datasets to uncover patterns, trends, and actionable insights.
• Big Data Analysts also build and maintain scalable data pipelines using technologies such as Apache Kafka, NiFi, or Airflow for real-time or batch processing.
• They create interactive dashboards and reports using visualization tools like Tableau, Power BI, or Apache Superset to support business decision-making.
• Additionally, they manage distributed databases like Hadoop HDFS, Amazon Redshift, or Snowflake, and collaborate closely with data engineers, data scientists, and business stakeholders to translate business needs into technical solutions.
• Ensuring data security, privacy, and compliance with regulations such as GDPR and HIPAA is also a key responsibility.
• Finally, they document data flows, analytical methodologies, and metadata to maintain transparency and support future use.

Apply now to get more information about this opportunity.

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Job function

  Administrative

• Industries

  Staffing and Recruiting

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