Data Analyst Python
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Data Analyst Python
Stargate- 0 - 1 yrs
- Not Mentioned
Data types
Data visualization
SQL
Syntax
-
Full Time
graduate
0 - 1 yrs
No required
4
Stargate
Full Time
Working Type : Work From Office
Job Description :
AMC Career
Job description
We are actively seeking for Data analyst python to join our ambitious team dedicated to pushing the frontiers of AI technology. This opportunity is tailored for professionals who thrive on developing innovative solutions and aspire to be at the forefront of AI advancements
Responsibilities:
- Analyze large, complex datasets using Python to identify trends, patterns, and anomalies.
- Develop and implement data models, databases, data collection systems, and other strategies to optimize data quality and efficiency.
- Design and execute queries, conduct exploratory data analysis, and create visualizations to communicate findings to stakeholders.
- Collaborate with cross-functional teams to define data requirements and ensure data accuracy and validity.
- Identify data quality issues, perform data cleansing and transformation, and develop automated data validation procedures.
- Develop predictive models and perform statistical analysis to support informed decision-making.
- Generate reports, dashboards, and data visualizations to support business intelligence initiatives.
- Stay up-to-date with industry trends, emerging technologies, and best practices in data analysis.
- Communicate effectively with both technical and non-technical stakeholders to gather requirements and present findings.
QUALIFICATION:-
- B.E OR B.TECH WITH 70% PLUS AGGREGATE.
- B.E/B.Tech 2023-24 ENGINEERING GRADUATE FRESHERS
- PREFERRED. (ECE/ETC & COMPUTER SCIENCE/IT BRANCH PREFERRED.)
Data Analyst Python
Neux Global- 0 - 3 yrs
- 29,000 - 48,000 / month
Developing tools
Writing scripts
Coding web apps
-
Full Time
graduate
0 - 3 yrs
₹29000 - ₹48000 / month
20
Neux Global
Full Time
Working Type : Work From Office
Job Description :
AMC Career
Job Description:-
FRESHER Vacancy for B.E/B.Tech Engineering Graduates in MNC Sector.
VACANCY FOR GRADUATE ENGINEERING FRESHERS IN MNC PROFILE.
QUALIFICATION: B.E OR B.TECH WITH 70% PLUS AGGREGATE.B.E/B.Tech 2023-24 ENGINEERING GRADUATE FRESHERS PREFERRED. (ECE/ETC & COMPUTER SCIENCE/IT BRANCH PREFERRED.)
Responsibilities:
Analyze large, complex datasets using Python to identify trends, patterns, and anomalies.
Develop and implement data models, databases, data collection systems, and other strategies to optimize data quality and efficiency.
Design and execute queries, conduct exploratory data analysis, and create visualizations to communicate findings to stakeholders.
Collaborate with cross-functional teams to define data requirements and ensure data accuracy and validity.
A data analyst who uses Python is responsible for a variety of tasks, including:- Developing tools: Use Python to create tools for data analysis, visualization, and mining
- Writing scripts: Write scripts to meet the needs of clients or employers
- Testing and debugging: Test code and debug it
- Deploying code: Deploy code in a live environment
- Creating algorithms: Create algorithms and use them to interpret data
- Developing reports: Create reports
VACANCY FOR GRADUATE ENGINEERING FRESHERS IN MNC PROFILE.
QUALIFICATION: B.E OR B.TECH WITH 70% PLUS AGGREGATE.B.E/B.Tech 2023-24 ENGINEERING GRADUATE FRESHERS PREFERRED. (ECE/ETC & COMPUTER SCIENCE/IT BRANCH PREFERRED.)
Responsibilities:
Analyze large, complex datasets using Python to identify trends, patterns, and anomalies.
Develop and implement data models, databases, data collection systems, and other strategies to optimize data quality and efficiency.
Design and execute queries, conduct exploratory data analysis, and create visualizations to communicate findings to stakeholders.
Collaborate with cross-functional teams to define data requirements and ensure data accuracy and validity.
A data analyst who uses Python is responsible for a variety of tasks, including:
- Developing tools: Use Python to create tools for data analysis, visualization, and mining
- Writing scripts: Write scripts to meet the needs of clients or employers
- Testing and debugging: Test code and debug it
- Deploying code: Deploy code in a live environment
- Creating algorithms: Create algorithms and use them to interpret data
- Developing reports: Create reports