基本信息

国家
Indie
特伦甘纳
城市
海德拉巴
职位编号
42893
部门
Education

描述和要求

Infor is looking for a dynamic, detail minded Learning Data & Dashboard Specialist with strong business acumen to join our Global Enablement & Education organization. You must have an outstanding blend of strong story-telling and technical expertise that is key for unlocking meaningful insights to our internals, stakeholders, partners and customers. As an integral member of our Learning team, you will be responsible for the design, development, implementation and support of critical Learning & Certification Business Intelligence (BI) reports, Expertise in SQL queries & Data integration projects on EDW using Microsoft SQL. Working with cross-functional teams, you will participate to gather and document reporting requirements to meet business needs. Using your skills and experience as a Data & Dashboard specialist, you will then use those requirements to design, develop, test and implement reports and dashboards.

Essential Duties :

Participate in business analysis activities to gather required reporting and dashboard requirements and translate business requirements into specifications that will be used to implement the required reports and dashboards, created from potentially multiple data sources.
Lead strategic analytics projects and present clearly communicated findings that lead to impactful insights for key customers, partners, and internal stakeholders.
Collaborate with other reporting teams to convert legacy reports (primarily Business Objects) to Cognos BI solutions.
Support ad-hoc querying and analysis to understand various user behaviors, investigate trends and diagnose data discrepancies.
Build data pipelines and reporting solutions and robust dashboards. 
Ramp up quickly as an authority of stitching and calibrating data across various data sources that relate to Infor’s education and certification programs, offerings, delivery, pipeline, bookings, revenue, users, customers, and partners.
Partner with Enablement & Education stakeholders to understand, validate and architect instrumentation and data flow and analytics needs. Understand how instrumentation impacts data pipelines mentioned above.
Craft and build data sets for various use cases such as, but not limited to, investigative analyses and scalable reporting solutions and dashboards. Architect solid data models which will provide actionable insights.
Build data models that are easy to use by business stakeholders, partners, customers, and internals.
Express business definitions through SQL transformations and calculations & develop SQL code for optimized performance.
Provide support as required to ensure the availability and performance of developed reports and dashboards for both external and internal users.
Provide training and assistance to users for generation of adhoc reports and navigate the dashboards.

Basic Qualifications :

Bachelor’s degree in Business, Computer Science, Engineering, Information Systems or a related field is required
Experience with analysis and insight generation. Able to prioritize and establish analytics strategy to deliver impactful insights. Working knowledge of code repositories (preferably Git).
This individual must be well-versed with at least one Business Intelligence tool (Birst, Domo, Power BI, Tableau, Clik, Quick insight,etc.), strong familiarity with source-system data (LMS, CRM, SFDC, SharePoint, etc.), and is able to produce relevant visualizations and recommendations.
Strong analytical and quantitative problem-solving ability.
Experience working with multiple business groups to meet their analytics needs
Strong understanding of data marts, data modeling, and related methodologies
Experience working with star schemas along with data validation & predictive or segmentation models is desirable.
Expert SQL programmer & Advanced SQL functions within a data warehousing environment. 
Experience with data lake or MPP database technologies, developing data models for use in business intelligence tools. Experience with scripting languages such as Python/Anaconda, R, etc.
Experience with Linux, crontab, and bash &understanding of file formats like yaml, json, and xml.
Experience working with Apache Hadoop and related technology stack like Hive, Presto Redshift, Snowflake, Dremio, Vertica, Greenplum, or Netezza
Knowledge of Data Science, Machine Learning, Statistical modeling, advanced excel skills & techniques and data mining concepts is desirable. 
Outstanding at telling stories with data and presenting it to customers, partners & stakeholders at all levels to influence critical decision making.

关于Infor

Infor是面向特定行业市场的企业提供商业云软件产品的全球领导者。Infor在云中构建完整的行业套件,并有效地部署将用户体验放在首位的技术,利用数据科学,并轻松集成到现有系统中。全球超过60,000家组织依靠Infor来帮助克服市场中断并实现全业务范围的数字化转型。 
更多信息请访问www.infor.com 

Our Values

At Infor, we strive for an environment that is founded on a business philosophy called Principle Based Management™ (PBM™) and eight Guiding Principles: integrity, stewardship & compliance, transformation, principled entrepreneurship, knowledge, humility, respect, self-actualization. Increasing diversity is important to reflect our markets, customers, partners, and communities we serve in now and in the future.

We have a relentless commitment to a culture based on PBM. Informed by the principles that allow a free and open society to flourish, PBM™ prepares individuals to innovate, improve, and transform while fostering a healthy, growing organization that creates long-term value for its clients and supporters and fulfillment for its employees.

Infor is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment. Infor does not discriminate against candidates or employees because of their sex, race, gender identity, disability, age, sexual orientation, religion, national origin, veteran status, or any other protected status under the law. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the infor.com/about/careers webpage.

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