Exploratory data analysis – Who Needs Engineers
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Software Engineering RecruitmentMon, 14 Oct 2024 01:10:02 +0000en-US
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1 https://wordpress.org/?v=6.6.2https://whoneedsengineers.com/wne_live/wp-content/uploads/2023/06/cropped-wne_logo-3-32x32.pngExploratory data analysis – Who Needs Engineers
https://whoneedsengineers.com/wne_live
3232Data Analyst
https://whoneedsengineers.com/jobs/data-sciene-and-analytics/data-analyst-78/
Mon, 14 Oct 2024 01:10:02 +0000https://whoneedsengineers.com/wne_live/jobs/jobs-categories/data-analyst-78/Data Analyst
Job Description:
As a Data Analyst, you will play a crucial role in transforming raw data into insightful information that drives strategic decision-making. Your analytical skills will be vital in interpreting data trends, generating reports, and providing actionable insights to stakeholders. You will work closely with various departments to understand their data needs and help develop data-driven solutions. This position requires a strong foundation in statistical analysis and a passion for data visualization. You will be responsible for cleaning and organizing data, performing exploratory data analysis, and developing dashboards to present findings in a clear and engaging manner. Collaboration with cross-functional teams will be essential to ensure that data initiatives align with overall business objectives.
IT Languages:
SQL
Python
R
The Data Analyst will be responsible for the following tasks::
Collect, clean, and organize large datasets from various sources;; Conduct detailed data analysis to identify trends and patterns;; Create and maintain reports and dashboards for stakeholders;; Collaborate with different teams to gather requirements and provide data solutions;; Present findings and recommendations to management in a clear and concise manner
Spoken Languages:
English;; Spanish;; French
Skillset:
Data visualization
Statistical analysis
Database management
Data cleaning
Exploratory data analysis
Soft Skills:
Critical thinking
Effective communication
Team collaboration
Attention to detail
Adaptability
Qualifications:
Bachelor’s degree in Data Science, Statistics, or a related field
Experience with data visualization tools such as Tableau or Power BI
Proficiency in SQL and Python for data manipulation and analysis
Strong analytical and problem-solving skills
Years of Experience:
3
Location:
United States
Job Benefits:
Health insurance
401(k) retirement plan
Flexible work hours
Professional development opportunities
Paid time off
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
The company fosters a culture of innovation, collaboration, and continuous learning. Employees are encouraged to share ideas, take initiative, and contribute to a positive workplace environment. The emphasis is on teamwork and supporting each other's professional growth.
Opportunities For Advancement:
Career advancement to senior analyst roles, Opportunities to lead projects, Mentorship and training programs
Visa Sponsorship:
Available
]]>Data Analyst
https://whoneedsengineers.com/jobs/data-sciene-and-analytics/data-analyst-56/
Thu, 03 Oct 2024 06:45:02 +0000https://whoneedsengineers.com/wne_live/jobs/jobs-categories/data-analyst-56/Data Analyst
Job Description:
An exciting opportunity awaits for a Data Analyst to join a leading financial services organization experiencing significant growth in Ireland. This role entails the collection, analysis, and interpretation of data to facilitate informed decision-making within the organization. As a Data Analyst, you will be instrumental in deriving meaningful insights from vast datasets, recognizing trends, and recommending actionable strategies to improve business operations. The successful candidate will possess a strong analytical mindset, meticulous attention to detail, and be proficient in various data analysis methodologies and tools. You will engage with cross-functional teams to understand their data requirements and will actively collaborate with IT and data engineering teams to ensure data is readily available and accessible for analysis. Your expertise will help enhance the organization's data analytics processes and tools, thereby contributing to its overall success.
IT Languages:
SQL
R
Python
The Data Analyst will be responsible for a variety of tasks that ensure the integrity and usability of financial data for analysis.:
Gather and extract financial data from diverse sources;; Ensure accuracy and reliability of data through validation processes;; Transform data into a format appropriate for analysis while maintaining quality;; Conduct exploratory data analysis to uncover patterns and trends;; Utilize statistical techniques to generate actionable insights from datasets;; Develop and maintain financial models to evaluate different business scenarios;; Create and update dashboards and reports to communicate analytical findings;; Employ visualization tools to effectively present complex data insights;; Collaborate with cross-functional teams to address analytical needs;; Work with IT and data engineering teams to guarantee data availability;; Identify and implement improvements in data analytics processes
Spoken Languages:
English
Skillset:
Data validation
Data transformation
Exploratory data analysis
Statistical analysis
Financial modeling
Dashboard creation
Data visualization
Soft Skills:
Strong analytical and problem-solving skills
Attention to detail
Effective communication skills
Ability to work collaboratively in teams
Qualifications:
Bachelor’s or Master’s degree in Finance, Economics, Statistics, or Data Science
Previous experience as a Data Analyst in the insurance sector
Years of Experience:
3
Location:
Ireland
Job Benefits:
Competitive salary
Health insurance
Professional development opportunities
Flexible working arrangements
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
The organization fosters a collaborative work environment that emphasizes innovation, professional growth, and employee engagement. Team members are encouraged to share ideas and contribute to the overall success of the company.
Opportunities For Advancement:
Potential for career progression within the organization, Access to training and development programs