Data Analyst (Hybrid)
Full-time
Morgan Stanley
Job Responsibility: Data Analyst (Hybrid)
Job Number:
3244257
POSTING DATE: Dec 8 PRIMARY LOCATION: Americas-Canada-Quebec-Montreal EDUCATION LEVEL: Bachelor's Degree JOB: Project and Program Management EMPLOYMENT TYPE: Full Time JOB LEVEL: AssociateDESCRIPTION
We offer:- To work with some of the best professionals in the business - for a firm that values individual intellect as much as teamwork
- State-of-the-art offices that are designed to maximize collaboration
- Flexible working arrangements
- Enriching challenges that provide opportunity for constant learning and advancement
- An environment which is leveraging technology to its highest potential
QUALIFICATIONS
Responsibilities:- Display strong analytical skills, with a proven track record of managing & reporting on large datasets.
- You will engage in the entire data life cycle - collect requirements, identify or build data source, analyze data, build data pipelines to load and transform data, visualize and present data.
- Ensure data quality, manage, and scale data solutions.
- Implementing appropriate industry-standard practices, including defining and reporting on key metrics, identifying risks, issues, gaps, and dependencies within and across work streams.
- Assistance with documenting data models and flows, artifacts, and responsibilities.
- Develop, analyze, and present findings in response to senior management requests.
- Demonstrate good time management and ability to prioritize tasks and to meet deadlines across multiple projects.
- Must be flexible, highly adaptable to a constantly changing environment. The candidate will be asked to juggle multiple ad hoc requests in addition to the BAU aspects of the role. The ideal candidate will be a self-motivated and flexible team player who has a strategic vision but also the ability to execute successfully.
- 3+ years of experience working with data analytics / visualization software.
- Proficiency in Python and SQL.
- Bachelor's degree in Computer Science or a related field
- Possess strong interpersonal and communication skills (Verbal and Written).
- Strong problem-solving and analytical skills. Ability to analyze / synthesize large amounts of information and present findings to senior audiences.
- Ability to work across functional disciplines and with all levels of the organization.
- Ability to work independently in a high-pressure environment while juggling multiple tasks.
- Ability to be flexible with ever-changing prioritization.
- Creative thinker who will take complete ownership and accountability.
- Background in statistics or data science is a plus.
- Power BI, Tableau or Splunk preferred.
Vacancy posted 1 day ago
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