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Bayer
Chesterfield, MO | Full Time
$89k-116k (estimate)
11 Months Ago
Revolution Technologies
Chesterfield, MO | Full Time
$92k-120k (estimate)
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LanceSoft Inc
Chesterfield, MO | Full Time
$120k-149k (estimate)
1 Month Ago
Mercy
Chesterfield, MO | Full Time
$115k-153k (estimate)
2 Months Ago
Data Analyst (Mid)
Bayer Chesterfield, MO
$89k-116k (estimate)
Full Time | Logistics Services 11 Months Ago
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Bayer is Hiring a Data Analyst (Mid) Near Chesterfield, MO

Local Candidate- Hybrid role onsite Wednesdays (1x week).

Data Analyst (Mid)

Key Tasks & Responsibilities

Work as a member of the Data Science and Engineering team in Bayer Crop Science Biologics Organization

Focus on the Biologics data management and ensure Bayer data governance best practices are implemented to manage data domain, data integration, data quality, and data access

Create processes and metrics to ensure and validate data accuracy and consistency across different data systems

Automatically manage and consolidate data from various data sources and systems to enterprise data systems

Perform data wrangling and data mining to extract key insights from various data sources for decision making and recommendations

Collaborate with stakeholders to achieve broader project goals

Qualification & Competencies

Master Degree in Microbiology, Genomics, Bioinformatics, Computational Biology, Data Analytics, Data Engineering or life science and agricultural related quantitative disciplines

Experience with Google Big Query, AWS databases, Oracle SQL, mySQL, PostgreSQL, and other data technologies

Fully proficiency with Python, R, SQL, Linux and shell programming, AWS, Azure and GCP with 3 years' experience

3 years? experience in building automated data pipeline to support enterprise data management, data integration, data quality monitoring and data analytics

Excellent communication and interpersonal skills on data management and analytics to both technical and non-technical personnel

Preferred skills/Experience

Knowledge in all aspects of Microbiology, Microbial Genomics, field testing, soil and weather data

Experience in unstructured data management and analytics techniques

Ability to work independently and collaboratively in a fast-paced environment with minimal technical supervision

Experience in developing interactive data visualization and application tool

Job Summary

JOB TYPE

Full Time

INDUSTRY

Logistics Services

SALARY

$89k-116k (estimate)

POST DATE

05/14/2023

EXPIRATION DATE

04/13/2024

HEADQUARTERS

BAYTOWN, TX

SIZE

>50,000

FOUNDED

2009

CEO

MIKE FURMAN

REVENUE

$50M - $200M

INDUSTRY

Logistics Services

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The following is the career advancement route for Data Analyst (Mid) positions, which can be used as a reference in future career path planning. As a Data Analyst (Mid), 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 (Mid). You can explore the career advancement for a Data Analyst (Mid) 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.

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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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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.

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

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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.

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

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