Battery Systems Data Analyst Engineer Jobs

Generating regular and ad-hoc reports that communicate findings and insights to relevant stakeholders within the organization.

Designing and conducting experiments to validate hypotheses or test assumptions using statistical methods.

Translating data insights into actionable business recommendations. Helping stakeholders understand the implications of data-driven insights on decision-making.

Knowledge, Skills And Abilities / Competencies

Minimum Education And Experience Requirements

Experience programming languages in SQL and PL/SQL.

Experience extracting, transforming, and loading (ETL) data.

Experience working with systems processing event-based logs, user logs, and debugging of complex systems.

Development and support experience in SAS and Windows Unix environment.

Good to have experience/knowledge in BI tools (Tableau/Power BI).

Minimum 4 years of experience in data analysis, data modeling and a passion for working with data to drive business decisions.

Experience with data visualization tools such as Tableau or Power BI.

Experience with statistical analysis tools such as R or Python.

Experience on the Salesforce platform will be a PLUS.

Experience using PySpark & Pandas Libraries for Data transformation activities will be a plus.

Interact with all levels of management and business units to communicate issues, new projects and related CMS and other systems matters

CMS experience (Cargo Ops & Res System)

Strong SQL or Excel skills with the ability to learn other analytic tools

Proven analytic skills, including mining, evaluation, analysis, and visualization

Experience with data visualization tools like Tableau, Excel etc.

3+ years of experience as a systems/ data analyst

Development and management of Azure Data Factory Pipelines, Data Sources, Data Flows, and custom Integration Runtimes

Advanced SQL skills including knowledge of joins, window functions, groupings, subqueries, and stored procedures.

Experience collaborating with various business stakeholders to gather requirements, review any process changes, and translate those into work items.

The following skills and experiences are required:

The following skills and experiences are preferred but not required:

Collaborate with business stakeholders to review and identify data requirements.

Development and management of Azure Data Factory Pipelines, Data Sources, Data Flows, and custom Integration Runtimes

Advanced SQL skills including knowledge of joins, window functions, groupings, subqueries, and stored procedures.

Experience collaborating with various business stakeholders to gather requirements, review any process changes, and translate those into work items.

The following skills and experiences are required:

The following skills and experiences are preferred but not required:

Collaborate with business stakeholders to review and identify data requirements.

Development and management of Azure Data Factory Pipelines, Data Sources, Data Flows, and custom Integration Runtimes

Advanced SQL skills including knowledge of joins, window functions, groupings, subqueries, and stored procedures.

Experience collaborating with various business stakeholders to gather requirements, review any process changes, and translate those into work items.

The following skills and experiences are required:

The following skills and experiences are preferred but not required:

Collaborate with business stakeholders to review and identify data requirements.

-Requirement gathering from business and architects.

-Converts high-level requirement to low-level design.

-Manage/edit existing Tableau/Power BI dashboard and create new one as per project demand.

·Working experience in ETL (Pentaho or equivalent)

Proficiency in writing Python Code and PyTest

-Data mining and data analytics work

Development and management of Azure Data Factory Pipelines, Data Sources, Data Flows, and custom Integration Runtimes

Advanced SQL skills including knowledge of joins, window functions, groupings, subqueries, and stored procedures.

Experience collaborating with various business stakeholders to gather requirements, review any process changes, and translate those into work items.

The following skills and experiences are required:

The following skills and experiences are preferred but not required:

Collaborate with business stakeholders to review and identify data requirements.

Strong computer skills, an analytical mind, and experience with time series & medical images

Want to go to graduate school, but need some lab experience

Experts are here to help: Lab manager, Data scientist, MRI physicist, Wet lab assistant

Bachelor's degree (minimum education required)

Software, engineering, signal processing, and/or IT skills

Skilled in Python and Matlab

Demonstrate strong analytical, organizational, and problem-solving skills.

Experience with Data Warehousing, data technologies and ETL solutions.

2+ years of experience in ETL (IBM Datastage preferred), SQL, UNIX/Linux scripting, and Big Data distributed systems.

2+ years of experience in programming languages like Python, orchestration tools and processes.

Experience in building ETL pipelines using Python pandas

Experience in leveraging database tools to develop DDL scripts, stored procedures, and functions to create and alter database objects.

In-depth interdisciplinary knowledge and experience in battery science, data modeling, and statistical analysis (minimum 3 years)

PhD in Engineering with a focus on statistical data analysis or data modeling, with at least 1 year of relevant experience

Proficiency in Python programming and object-oriented programming experience

Strong skills in data science software, including pandas, numpy, scipy, tensorflow, etc.

Hands-on experience with data visualization tools such as Grafana, kibana, influxdb, etc.

Highly punctual with exceptional interpersonal skills and a keen eye for detail

Familiarity with agile development methodologies and project management practices

Knowledge of statistical analysis and data mining techniques.

Strong problem-solving skills and attention to detail.

Excellent verbal and written communication skills.

Strong interpersonal skills and the ability to work effectively in a team.

Prior experience (atleast 7 years) in data analysis, data engineering, or a similar role.

Knowledge and understanding of incident management: gathering impacts and analyzing data.

Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals

Lead projects and act as an escalation point, provide guidance and direction to less experienced staff

4+ years of Teradata experience

4+ years of SQL experience

3+ years of Agile experience

Knowledge and understanding of incident management: gathering impacts and analyzing data.

Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals

Lead projects and act as an escalation point, provide guidance and direction to less experienced staff

4+ years of Teradata experience

4+ years of SQL experience

3+ years of Agile experience

Knowledge and understanding of incident management: gathering impacts and analyzing data.

Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals

Lead projects and act as an escalation point, provide guidance and direction to less experienced staff

4+ years of Teradata experience

4+ years of SQL experience

3+ years of Agile experience

Advanced experience in writing SQL queries.

Experience with data warehouses (EDW, FDW, MarkLogic, etc.)

Knowledge in relational database tools (SQL, Oracle, etc.)

Knowledge in developing ETL transformations (Informatica)

Knowledge of basic Reinsurance practices

Designs, codes, tests, debugs, documents, and maintains data programs surrounding the Sapiens URS/Reinsurance PRO application.

Develop, document the engineering requirements for automotive traction battery systems. Lead other engineers and teams to balance requirements.

Lead the data analysis activities and interpretation related to battery field performance to guide requirements development and product improvements

Excellent MATLAB scripting skills or other languages e.g. Octave, Python

Knowledge of design of experiments, parameter fitting, optimization, and data regression methods

General knowledge of xEV Battery/Client systems, xEV Vehicle/powertrain operation

Thorough knowledge of electrification technology functionality and features on the system level.