Business Intelligence (BI) Developer (Level 2)
目的：通过使用公司的报道和分析工具 （软件）来提供报告形式，处理和将数据转换为可操作见解来支持和增强业务决策的先进的报告和分析解决方案。资格：· 有关3年级高等专业资格 （学位/文凭）数学，金融，实证科学，数学，计算机科学，信息系统，数据或数学科学，数据分析，商业分析或工程等领域。最少4年的经验：· 在实施创新型 BI 解决方案方面实现了明确的业务决赛和利益。· 数据分析至少4年的经验，包括对数据库结构设计和数据提取原则 (ETL) 的经验和理解。· 与任何可视化工具工作的经验至少4年，其中2年用于 Power BI (DAX,M). · 在 SQL (Postgres, MySQL,MS SQL) 中至少4年的經验，涉及清理，丰富，转换，数据映射，数据汇集和数据正常化，适合数据分析。· 从开始到结束管理项目，自己的工作和举措，包括规划，范围设定，预算和时间表管理。技能：· 高级了解 BI 工具和解决方案。·数据建模专业知识。·高级数据分析技能。· 熟练的数据集成能力。· SQL 语言熟练的。· 高级的数据可视化能力。·协作和解决问题能力。·规划，组织和优先事项的能力。· 人际关系和建立关系技巧。自主权和决策：在一般指导下工作，行使实质性的个人责任和自主权，并执行任务或流程时做出准确决定。影响力和利益相关者参与：影响内部利益相关者，客户，供应商，合作伙伴和同行对自身专业的贡献来实现业务目标。建立了里程碑并在分配任务和/或责任方面发挥着重要作用。工作范围和复杂性：在广泛且经常不可预测的背景下执行各种复杂技术和/或职业工作活动。参与各个领域解决与利益相关者的/客户需求和专业化领域有关的复杂问题。
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Purpose: To design, develop, and deploy advanced reporting and analytical solutions to support and enhance business decisions through processing and converting data into actionable insights, delivered in report form, using Company reporting and analytical tools (software) of choice.
Qualifications:
· A relevant 3-year tertiary qualification (degree/diploma) in statistics, finance, actuarial science, mathematics, computer science, information systems, data or mathematical sciences, data analysis, business analysis, or engineering.
Minimum Experience:
- At least 4 years' experience implementing innovative BI solutions leading to clear business decisions and benefits.
- At least 4 years' experience in data analysis, including experience in and understanding of database structure design and data extraction principles (ETL).
- At least 4 years' experience working with any visualization tools, of which 2 years are on Power BI (DAX, M).
- At least 4 years' experience in SQL (Postgres, MySQL, MS SQL) which involved cleaning, enriching, transforming, data mapping, data aggregation, and data normalization suitable for data analysis.
- Experience managing projects, own work, and initiatives from start to finish, including planning, scoping, budgeting, and timeline management.
Skills:
- Advanced understanding of BI tools and solutions.
- Expertise in data modeling.
- Advanced data analysis skills.
- Proficiency in data integration.
- Proficient in SQL languages.
- Advanced data visualization capabilities.
- Collaboration and problem-solving skills.
- Planning, organizing, and prioritization abilities.
- Interpersonal and relationship-building skills.
Autonomy and Decision Making: Works under general direction, exercises substantial personal responsibility and autonomy, and makes accurate decisions in the execution of tasks or processes.
Influence and Stakeholder Engagement: Influences internal stakeholders, clients, suppliers, partners, and peers on the contribution of own specialism towards the achievement of business objectives. Establishes milestones and has a significant role in the assignment of tasks and/or responsibilities.
Job Scope and Complexity: Performs an extensive range and variety of complex technical and/or professional work activities in a wide and often unpredictable range of contexts. Engages across areas to resolve complex issues as they relate to stakeholder/client requirements and area of specialization.
Technical/Specialist Leadership and Oversight: Provides technical oversight of others' work and acts as a coach or mentor within specialization. Applies and encourages the use of deductive and inductive thinking to generate 'out of the box' solutions or turn identified problems into opportunities.
Originally posted on Himalayas