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Sr Analytics Application Engineer

Remote:

Full Remote

Experience:

Senior (5-10 years)

Work from:

United States

Offer summary

Qualifications:

Bachelor’s degree in Computer Science or related field, Minimum of 5 years in analytics application development, Proficient in SQL, Python or R, Experience with data visualization tools like Tableau or Power BI.

Key responsabilities:

Develop and maintain analytics applications for business intelligence
Collaborate with data scientists to design machine learning models
Analyze complex datasets and identify trends and KPIs
Optimize analytics applications for performance and scalability

A1advisor

2 - 10 Employees

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Job description

Overview

The Senior Analytics Application Engineer plays a pivotal role in leveraging data analytics to drive informed business decisions within the organization. This role serves as a bridge between data science and application development, ensuring that analytics solutions are seamlessly integrated into existing applications. The Senior Analytics Application Engineer is expected to analyze complex datasets, design robust applications, and utilize machine learning techniques to derive actionable insights. They will collaborate closely with cross-functional teams, including data scientists, software engineers, and business stakeholders, to understand analytics requirements and translate them into scalable engineering solutions. With the increasing reliance on data-driven strategies, this role is critical in enabling the organization to optimize performance, enhance user experiences, and ultimately achieve its strategic goals. Expertise in data processing, cloud technologies, and a robust understanding of analytics frameworks are essential for success in this role.

Key Responsibilities

Develop and maintain analytics applications that support business intelligence initiatives.
Collaborate with data scientists to design and implement machine learning models.
Extract, transform, and load (ETL) data from various sources for analysis.
Implement data pipelines for real-time analytics processing.
Analyze complex datasets to identify trends and key performance indicators (KPIs).
Design data visualization dashboards to communicate insights effectively.
Optimize analytics applications for performance and scalability.
Conduct code reviews and promote best practices among team members.
Collaborate with software engineers to integrate analytics solutions into existing workflows.
Stay updated with emerging technologies and trends in data analytics.
Create technical documentation for analytics processes and applications.
Provide training and support to end-users on analytics tools.
Participate in project planning and provide inputs on resource needs and timelines.
Assist in defining metrics and business requirements for analytics projects.
Work closely with stakeholders to align analytics solutions with strategic objectives.

Required Qualifications

Bachelor’s degree in Computer Science, Information Technology, Data Science, or related field.
Minimum of 5 years of experience in analytics application development.
Proficient in SQL for database querying and manipulation.
Strong programming skills in Python or R.
Experience with data visualization tools such as Tableau or Power BI.
Solid understanding of machine learning algorithms and their applications.
Familiarity with big data technologies (Hadoop, Spark) is a plus.
Experience with cloud platforms (AWS, Azure, Google Cloud).
Strong analytical and problem-solving skills.
Excellent verbal and written communication abilities.
Demonstrated experience in project management methodologies.
Ability to work collaboratively in a team-oriented environment.
Strong attention to detail and accuracy in work.
Proven ability to manage multiple projects and deadlines.
Professional certifications in relevant technologies/tools are a plus.
A strong portfolio of past analytics projects will be advantageous.