2 Ofertas de Business Analyst en Repuplica Dominica

Business Analyst - DNA

Santiago, Santiago Jostens

Hoy

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Descripción Del Trabajo

JOB TITLE: Business Analyst - DNA
LOCATION: Santiago
MODALITY: Remote
GENERAL DESCRIPTION OR PURPOSE OF JOB:
We are seeking a detail-oriented and collaborative Business Analyst to support the development of our customer-focused enterprise data warehouse. This role will focus on working with Data Architects and Managers to elicit, formalize, and document requirements in the form of actionable Jira stories. The ideal candidate will bring structure and clarity to evolving or ambiguous business needs, and serve as a key conduit between business objectives and technical execution.
RESPONSIBILITIES / ESSENTIAL FUNCTIONS:
+ Serve as the primary liaison between technical teams and business stakeholders, providing updates on delivery status and acting as a point person for clarifications.
+ Collaborate with Data Architects and Managers to gather and formalize business and technical requirements.
+ Define problem statements, including core business concepts, attributes, historical scope, data granularity, and business rules (e.g., inclusion/exclusion/summarization).
+ Create and maintain a prioritized backlog of business requests and enhancements for each project.
+ Create use cases and scenarios to illustrate proposed changes and desired business outcomes.
+ Outline thorough testing requirements of data and business processes to ensure accuracy and integrity during and after implementation.
+ Perform other related responsibilities as assigned, to assist IT management on other activities as necessary.
Required:
+ 3+ years of experience as a Requirements Engineer, Business Analyst, or similar role within a data-focused environment.
+ Proven ability to translate business objectives and high-level concepts into clear technical requirements and user stories.
+ Experience using Jira, Confluence, or similar Agile tools to manage requirements and stories.
+ Familiarity with enterprise data warehouse concepts, particularly related to customer analytics.
+ Strong written and verbal communication skills with a focus on clarity and structure.
+ Basic proficiency in SQL and comfort working with data for validation or exploration.
+ Demonstrated ability to work under the direction of architects and managers in a collaborative technical team.
Preferred:
+ Experience with modern data platforms such as Snowflake and BI tools such as Incorta.
+ Background in customer analytics, churn analysis, or segmentation projects.
+ Understanding of data governance, metadata, and quality practices.
+ Previous experience working in organizations where business engagement is limited or evolving.
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Business Intelligence Technician

Haina Eaton Corporation

Publicado hace 16 días

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Descripción Del Trabajo

**What you'll do:**
Support the Business Intelligence, Data Management and Analytics Team with the execution of its roadmap enabling stategic use of data at Eaton. Combine technical skills, a passion for creative problem solving to build great data management solutions that will enable better, quicker and real time decision making. Lead BPI events to data collection, data management and data presentation processes. Participate in RIEs to assist with MAPICS direct data collection and requirements analysis processes. Provide support on MAPICS system knowledge and processes.
1. Streamline processes and create efficiencies in the way the various departments and team members use applications, technology, and practices to collect, analyze, and present data across business functions. Proactively seek opportunities to improve data quality.
2. Provide maintenance and technical support to homegrown systems in O365 (e.g. material request system, replenishment system, etc).
3. Provide maintenance and technical support to the reports are running on Power BI Service such as: Programa Kaizen y Sugerencia, Action Tracker, Allocation Tracker Report, ECO's Report, Project Portfolio Report, Haina Load Performance Report.
4. Provide system knowledge support to MAPICS user in business processes, such as: creation of MOs under deviation, creation of queries and reports to extract data from MAPICS, receipt of breakers by warranty, PMC, etc.
5. Provide maintenance and technical support to reports from MAPICS AA environment used by finance team.
6. Derive, interpret and effectively deliver the results of data analysis using visualization techniques, tools, custom applications, or by narrating stories about the solutions to business problems.
7. Understand traditional and new data analysis methods that can build statistical models and discover patterns in data.
8. Work directly with business stakeholders and engineering teams, ask the right questions to create high quality solutions that solve end-user problems.
9. Utilize a broad range of techniques in machine learning, data mining, statistics, and big data interrogation methods.
10. Provide work estimates and participate in design and implementation reviews.
11. Execute agile work plans for iterative and incremental project delivery.
**Qualifications:**
**Education level required:** University student with 90% of credits completed on engineering related areas.
**Years and area of experience required:** 2 years of technical or administrative support in related areas.
Preferred: Minimum 1 year in developing and designing data management solutions. And/or 1 year of practical data science experience using MS Excel, Power BI, PowerQuery with a proven track record of solving critical business problems and uncovering new business opportunities.
Experience working in projects or small teams in Production environment.
**Technical knowledge**
1. Experience designing and training models, integrating data from different systems, and cleaning data.
2. Experience of Windows and O365 platform.
3. Solid experience of data visualization tools such as Power BI and/or Pyqtgraph, Tableau, etc.
4. Ability to write complex queries that are accessible, secure, and perform in an optimized manner with an ability to output to different types of consumers and systems.
5. Basic understanding of SQL to perform data collection of large datasets.
6. Basic understanding of relational and non-relational database systems.
7. Basic understanding of cloud development platforms such as Power Apps, Azure and their associated data storage options.
8. Experience using MAPICS.
#LI-ME1
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