出海雷达

Data & BI Analyst (Freelancer)

其他限定地区(需当地身份)
公司Tectu
薪资未公开
工作地点Israel
地域资格限定地区(需当地身份)
时区要求日间重叠约 3 小时,需偶尔早起或晚睡
用工类型Contractor
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 Israel 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
关于本页中文:职位描述由本机离线模型翻译,属机器翻译,供快速判断用;正式沟通与投递请以英文原文为准。官方翻译通道恢复后会自动重译升级。

在 Tectu,你可以产生真正的影响!作为数据和 BI 分析师,你将在提供数据和业务战略,解决方案和流程中发挥主要作用来支持数据导向项目。理想的候选人热衷于为不断变化的业务需求和技术景观提供尖端解决方案。你将与我们的产品和工程团队密切合作定义并提供这些解决方案。如果你是数据痴迷,对技术热情,自动化和有纪律的自由职业者,我们很喜欢与你交谈。理想的候选人既有愿意,也希望在动态环境中工作,能够在日常活动中应用敏捷方法,并且喜欢独立地工作,几乎没有监督,而且还是在团队环境中。你的天下在 Tectu At Tectu,我们与各种客户合作,为解决不同问题和需求提供先进技术解决方案。作为 Tectu 的数据&BI 分析师,你的日期很可能会根据你参与的项目而异,但一般你将执行以下的活动:·识别或诊断一个问题进行分析 ·从各个来源收集适当的数据 ·清洁和准备数据进行分析 ·分析数据以寻找见解,模式或趋势 ·用报告和仪表板解释分析结果 ·与利益相关者合作并提出关键发现 责任:·成为团队组成部分,为各种客户定义数据战略和能力路线图 · 与数据工程师密切合作,有效地规划和构建数据工程工具,数据仓库和数据湖泊 ·通过开发生命周期的所有阶段向多种产品,项目,解决方案和流程做出核心贡献 ·执行分析来评估数据质量和意义 · 使用统计工具来识别,分析和解释复杂数据集中的模式和趋势,这些方法可能有助于诊断和预测 ·使用数据可视化工具 (例如图表,PowerBI,Looker,Qlik)构建仪表板并驱动见解 ·分析影响组织和行业的当地,国家和全球趋势 ·准备管理人员报告以相关数据要求声明趋势,模式和预测 •作为商业智能分析师和数据分析师经验5年以上 · 2年以上在 adva 领域工作经验

查看英文原文

At Tectu, you can make a real impact! As a Data & BI Analyst you will play a lead role in delivering data and business strategies, solutions and processes to support the data oriented projects. The ideal candidate is passionate about delivering cutting edge solutions to support the changing business needs and technology landscape. You will be working closely with others on our Product and Engineering teams to define and deliver these solutions.
If you are data obsessed, passionate about technology, self-motivated and a disciplined freelancer, we would love to speak with you. The ideal candidate has both a willingness and desire to work in a dynamic environment, is able to apply Agile methodologies in day-to-day activities, and who enjoys working both independently with little oversight and in a team environment.
Your Day at Tectu

At Tectu, we work with various customers, providing advanced tech solutions to solve different problems and needs. As a Data & BI analyst at Tectu, your day will most likely vary according to which projects youre involved in, but generally youll be performing the following activities:

  • Identifying or diagnosing a problem to analyze
  • Collecting appropriate data from various sources
  • Cleaning and preparing the data for analysis
  • Analyzing the data for insights, patterns, or trends
  • Interpreting the results of the analysis with reports and dashboards
  • Collaborating with stakeholders and presenting key findings

Responsibilities:

  • Be an integral part of the team defining data strategy and capabilities roadmap for various customers
  • Work closely with data engineers to effectively plan and build data engineering tools, data warehouses and data lakes
  • Provide core contributions to multiple products, projects, solutions and processes through all stages of the development lifecycle
  • Perform analysis to assess quality and meaning of data
  • Use statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
  • Use data visualization tools (e.g. Tableau, PowerBI, Looker, Qlik) to build dashboards and drive insights
  • Analyze local, national, and global trends that impact both the organization and the industry
  • Prepare reports for the management stating trends, patterns, and predictions using relevant data

Requirements

  • 5+ years of experience as a Business Intelligence Analyst and Data Analyst
  • 2+ years of experience in advanced analytic related multivariate and A/B testing, digital revenue attribution, cohort analysis, lifetime value analysis, media mix optimization, customer segmentation, and marketing effectiveness
  • 3+ years of experience working with data visualization tools, such as Tableau, PowerBI, Looker, QlikSense, etc
  • Strong mathematical skills to help collect, measure, organize and analyze data
  • Strong analytical skills and SQL proficiency
  • Technical proficiency regarding database / DWH design development, data models, techniques for data mining, and segmentation.
  • Proficiency in statistics and statistical packages to be used for data set analysis
  • Adept at using data processing platforms like Spark & Presto
  • Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions
  • Accuracy and attention to detail
  • Adept at queries, writing reports, and data visualization

Soft Skills

  • Strong work ethic and strong core values (honesty, integrity, creativity)
  • Sense of urgency, ownership mindset, and customer focus
  • Innovative problem solver who takes initiative never stops thinking about ways to improve
  • Ability to self-learn new skills and technologies

Advantage

  • BSc in highly-quantitative field (Analytics, Computer Science, Industrial Eng, Mathematics, EE) is preferred
  • Data driven mindset
  • Able to create and communicate the 'big picture' in a clear way.
  • Familiar with best practices of the data and software engineering lifecycle
  • Knowledge of programming languages like Python, R, MATLAB, or other

Originally posted on Himalayas

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