Senior Data Analyst
Guidehouse
PythonSQL
Data Analyst II
RELX
full-time
Posted on:
Location Type: Office
Location: Chennai • 🇮🇳 India
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
ApachePandasPythonSparkSQLTableau
About the role
- A Data Analyst II should have a basic understanding of best practices and can execute on projects and initiatives with supervision from others.
- Individuals will create basic level insights and recommendations in their area of expertise.
- Individuals in this role will continue to provide support to the analytics team members and begin to lead analytics efforts with low complexity.
- This role is located within DataOps and supports data scientists working within the Domains of the Research Data Platform.
- Domains are functional units that are responsible for delivering one or more data products, often through data science algorithms, and supporting this work could lead to a wide range of different analytical activities.
- For example, you may be asked to dive into large datasets to answer questions from product owners or data scientists; you may need to perform large-scale data preparation (dataprep) in order to test hypotheses or support prototypes; you may be asked to review the precision and recall of data science algorithms at scale and surface these as dashboard metrics.
- You will need to have a keen eye for detail, good analytical skills, and expertise in at least one data analysis system.
- Above all, you will need curiosity, dedication to high quality work, and an interest in the world of scientific research and the products that Elsevier creates to serve it.
Requirements
- Minimum work experience of 3 years
- Coding skills in at least one programming language (preferably Python) and SQL
- Familiarity with common string manipulation functions such as regular expressions (regex)
- Prior exposure to data analysis in a tabular form, for example with Pandas or Apache Spark/Databricks
- Knowledge of basic statistics relevant to data science – eg. precision, recall, F-score
- Knowledge of visualization tools such as Tableau/Power BI is a plus
- Experience of working with Agile tools such as JIRA is a plus
- Stake Holder Management
- Build and maintain strong relationships with Data Scientists and Product Managers.
- Align activities with Data Scientists and Product Managers.
- Present achievements and project status updates, both written and verbally, to various stakeholders.
Benefits
- Comprehensive Health Insurance.
- Enhanced Health Insurance Options.
- Group Life Insurance.
- Group Accident Insurance.
- Flexible Working Arrangements.
- Employee Assistance Program.
- Medical Screening.
- Modern Family Benefits include maternity, paternity, and adoption support.
- Long Service Awards.
- Celebrating New Baby Gift.
- Subsidized Meals (location-specific).
- Various Paid Time Off options including Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, and Gazetted Public Holidays.
- Free Transport for home-office-home commutes (location-specific).
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonSQLregular expressionsPandasApache SparkDatabricksbasic statisticsprecisionrecallF-score
Soft skills
analytical skillscuriositydedication to high quality workstakeholder managementrelationship buildingcommunicationpresentation skills