Data Analyst I

2 weeks ago

Karachi, Sindh, Pakistan DM Clinical Research Full time 360,000 - 720,000 per year

We are in need of a self-motivated Data Analyst to join the central services team and help manage our master data set, developing reports, and troubleshooting data issues. To do well in this role you need a very fine eye for detail, experience as a data analyst, and a deep understanding of the popular data analysis tools and databases.


Responsibilities:
  • Managing master data, including creation, updates, and deletion
  • Provide quality assurance of imported data, working with business analysts if necessary
  • Commissioning and decommissioning of data lists
  • Processing confidential data and information according to guidelines
  • Helping develop reports and analysis using tools such as, PowerBI, Google Data Studio, Google Sheets, Excel VBA
  • Preparing ad-hoc reports for the management stating trends, patterns, and predictions using relevant data
  • Managing and designing the reporting environment, including data sources, security, and metadata
  • Supporting the databases in identifying and revising reporting requirements
  • Supporting initiatives for data integrity and normalization
  • Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems
  • Generating reports from single or multiple systems
  • Troubleshooting the reporting database environment and reports
  • Evaluating changes and updates to source production systems
  • Training end-users on new reports and dashboards
  • Providing technical expertise in data storage structures, data mining, and data cleansing
  • Transform raw data into a structured format suitable for analysis.
  • Conduct scenario building exercises to anticipate potential challenges and opportunities with respect to randomization goals.
Qualifications:
  • Bachelor's degree from an accredited university or college in computer science.
  • Work experience as a data analyst or in a related field.
  • Ability to work with stakeholders to assess potential risks.
  • Strong mathematical skills to help collect, measure, organize and analyze data
  • Knowledge of programming languages like Google scripting, SQL, Oracle, Python
  • Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
  • Experience in handling reporting packages like Business Objects, programming (Javascript, XML, or ETL frameworks), databases
  • Ability to translate business requirements into non-technical, lay terms.
  • High-level experience in methodologies and automations for managing large-scale databases.
  • Demonstrated experience in handling large data sets and relational databases.
  • Understanding of addressing and metadata standards.
  • High-level written and verbal communication skills.

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